{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d53c7616",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Datawhale AI 夏令营 第二期\n",
    "## NLP 赛道深度学习 Baseline 代码精读\n",
    "---\n",
    "\n",
    "<p>骆秀韬 epsilon_luoo@outlook.com</p>\n",
    "\n",
    "聪明办法学 Python 教学团队"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6bd58403",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-07T11:18:02.536644Z",
     "start_time": "2023-08-07T11:18:02.521635Z"
    },
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 导入所需工具"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ed933971-0c45-4329-8793-13499b5bac48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T11:38:51.620645Z",
     "start_time": "2023-08-08T11:38:51.611628Z"
    },
    "init_cell": true,
    "papermill": {
     "duration": 3.820548,
     "end_time": "2023-03-24T04:35:44.025675",
     "exception": false,
     "start_time": "2023-03-24T04:35:40.205127",
     "status": "completed"
    },
    "run_control": {
     "marked": false
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 忽略 Paddle 警告\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import numpy as np # 数值计算\n",
    "import pandas as pd # 数据分析\n",
    "from tqdm import tqdm # 进度条显示\n",
    "import paddle # PaddlePaddle 深度学习框架\n",
    "from paddlenlp.transformers import AutoModelForSequenceClassification, AutoTokenizer # 飞桨自然语言处理工具包（模型、分词器）\n",
    "from paddle.io import DataLoader # 数据加载器\n",
    "from paddlenlp.datasets import MapDataset # 数据集转换\n",
    "from sklearn.model_selection import train_test_split # 训练集与验证集拆分\n",
    "import matplotlib.pyplot as plt # 绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87c20a3c",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 导入数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cbb5b0bc-845c-47c3-bee0-ae22c28a53cf",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:07:07.091033Z",
     "start_time": "2023-08-08T12:07:06.840598Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-03T02:30:01.308871Z",
     "iopub.status.busy": "2023-08-03T02:30:01.308239Z",
     "iopub.status.idle": "2023-08-03T02:30:01.541078Z",
     "shell.execute_reply": "2023-08-03T02:30:01.540239Z",
     "shell.execute_reply.started": "2023-08-03T02:30:01.308837Z"
    },
    "run_control": {
     "marked": false
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "        name  label                                            content\n",
       "2850    2851      1  [ 593 1296  148  242 3747 1107 4242 1759  266 ...\n",
       "13636  13637      0  [5169 3125 1106  169 5212 2044 3974 3670 4889 ...\n",
       "5566    5567      0  [   0    0    0 1539 1759  266  292 1581 3125 ...\n",
       "13427  13428      0  [ 998 1759 3125 3037 2575 4683 2177 4253 1105 ...\n",
       "5976    5977      1  [2187 2206 2214 3938  677 3967  455  123  148 ..."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"data/train.csv\") # 加载赛事提供的训练数据\n",
    "test_data = pd.read_csv(\"data/test.csv\") # 加载赛事所需提交的测试数据\n",
    "data.sample(frac=1).head() # 随机查看 5 行训练数据中的内容"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f6c72a33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:09:37.534576Z",
     "start_time": "2023-08-08T12:09:37.515023Z"
    },
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 2 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   name     10000 non-null  int64 \n",
      " 1   content  10000 non-null  object\n",
      "dtypes: int64(1), object(1)\n",
      "memory usage: 156.4+ KB\n"
     ]
    }
   ],
   "source": [
    "test_data.info() # 查看测试数据信息"
   ]
  },
  {
   "attachments": {
    "image.png": {
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t0GiyVabnEx673op+TOyU1/pQqDYkZJByrnX6Tv3x/7pHHn1s5kOMpl7ofSiDhNqknHAVt96ran/ngrPqlHVsu9Cl1X9QP6LqHVt2T/0Wvdfr5Pb31S8qC6vueviex6AxQOm3FmY1ZilODYOUA+0nLoVEIyxylSpf0HRUgUr5CpwiY52f3IYylDc815eGMe2oYVH0uxplUZcHZfeb7jwT5ovOUzvjZfL0db2r+urlV2dCC2Tuc8D8rPr6xW13qO08dFnu9BKRIiGFREpFnM8pv3OH7d5z731OHfeUOMr8rLbWupPtq9VulhkBlUfaJk5p1C4tTdtV61d4X1bGpth6ueJjl+UtjqvJ75yvZKm79GgrUxk2chT01PqQ86V5hZU/MJn3r3pb5XRfhpWc+mUxUvZh0KCdsBkz1Faq3J5y2ulVRcR0byxtV9OtMoveIynvYBOsyPNY2EksLQSq9BZxKLum9+UPTjplxnAaJW/WzzvvujtrCqDKaxcjsmcJ19KPadel+2jTi7ICg0YRlY6vdd1BCsWXIeL6G37rZAHLUaz8i62LOZWhnDrv4kUj+ce0o8ZcUfTjvNHvnC+BZS84f72vbc+K0pN6rc/6+vCCR8wrr6d0Hvoqd+r4n3X2uU6dJp/HKcccw6PW+NEIspTwYz9qCz+9xVbuhhtvSlKy4rKiXUt+fMZPnYwhcdgpvxV/zq4WY1JsYybh777KWxin9TxnUTaNeLEY9+VX7ab13atRihqtWOesCxuqXv725lvqgp11X8bW9eZ93FzOVVZTXNfKL+2E3Zjh2zAZs2QMasONpe3KHZXlmRQdc95fFqZjYSeZ1R6sssbaye2BPlxpfSuL0/bTm2+1dXIcPk+62gjAInuK32nXpbtu08sYY9AoI9Ph9T47SGEy7r3v/ux5b13MqQxl0/lDDz/sVl9nfXMj5huzsmPXwxfjdFT9nguKfpH8bWxxVpQ/qYp7kUx9Xeu7vmr4pdZaKOJVdk0vyCrXd7n79RVXmo0aGoqa6vTiOva4E0yMPDtNpbnqmmsbr9shWfW16uhvfzdr2pDaVI0KsbgxKbZVcvdd3qpkKbunxUA1pciXi7pjbqdFRg2NyKkLP7yvToCMFXXuO9873hRurgE5ZxcY7YYlo1Gd61L5pZ3IN2b48tjW1JOxtF1tbJXp2YRHpa8rNxZ2Sp+mboXprjvPHb2SszaQdkfULoljdsuCLt1lm16Vtxg0quh0dK/vDlKYDClX+jKYM2S6rRdbKE94bhn++87l35PciUj5gh3K0eX5XFD0i9Jv2XlGyrj+6l50uq8vl2MfJjhEfbXwFkeNVHj11VeLsm5yre9yl9ORsKx3c9sdd2Ztz5o6XaAUZMkNGUhyhuZb29QxKbYlKAYpb1WylN279bbbTUY3S/mM48wZYpzSQdKUlpR2Vn6We89K7rrrb4xFS/qdM3oydcpkl8ov7URzg4be0W1MPRlD22WdLqE6k1q/Ntt8y852BhwDO99QWGQRuybri1hHMmgEmtr1MTuLbjdXdeku2/SqvMWgUUWno3tDdJDipFxy6WUmZU4NkyqXrLNdOOuLRivTa+RF6sum7gt2F2kqCrPvjmWRDNZraiQsW5xJybYo2qnzxa1yt+V/iPqqYdJSkFLLt74064tzmRui3FmH9qZ+Xcn54i2Oe+57QO1aI2X8Uq7nDM23tqkWZXLIkWlDlLeUPAr9WGRU+dFoiFz3yiuvuM9t+cXk+qz41IZWOWu7VNdGVMWle9Yvs6mdi66UX9qJ5sYM//5pY+rJGNouy1aZKr8y5OjoOVQdu/xwNgZ2vn2w6HZaPPnmW3/nHzUf9azCqOIe31O7Pla3rOjSXbXpdfmKQaOOUAf3rYqIGrMuXM4WZl0pyZavZX7or2VERxerAOfkiUWJTv3ClSOH5RnLzjPqoMkCbbFCa5qRphuN1Q1VXw84+LDkF3ld52GIcqevuvqqHSscZb81L1dGgTqnhQqtI8w0gkVGoq6dppCofSpLY9F1y5e9MSm2VSyHKG9V8hTds8iofGv6Hj7osCOSdg7yuwtppfhX//a3ItEn16ztUtP3yV133+M+tumnk9Og6YRXX/ubUvn9ja6UX9qJ9gwaKv+5Cxn7fB5D22WRQVMltD2pZQHMI476lk9uq0eL3F3p6D5BFoNGnV7iwyw7arFxGYJ9m5hy1NpWY3XLii7dVZtel68YNOoIdXDfqog0VaTKkqDM1/QTy4JlvsNaFmbudcvQMj8nz2Jtl9wpc5Jz5U99zqJEN1VAU2Wq82fZeWbexps6rbxvXX3fsn5Cnbxt3x+qvopJUQe46Fpd+R6q3Fnm+KcoPzlD37UeSe42qTllSTuhdNWmjkmxrWIzVHmrkim+Z5GxDYNGHH/T39Z2aSzvkzjdXSi/tBM/SH53FL1Piq6pTVPbluuGbrusox79YvKWD2epowytDIdmF8rbp0EjjHcazpcVXbqLNj0l/zFopFBq2Y9VEenKoKFkSRbtgFL0Aiu71vYUgdwXjXWaSu6CaG1mv0WJHoMCalUMPWM1LJZpKt5I1SbrtsIaqr5ayorqqvyXOUtYbZY7iyKWYtCwGDHFRIaerqbJlbHOGeqe2qZaeHb9pa4s/bo+VHmrkim+Z5FRZanJGhpx3G38trZLTdbQaEPesjC6UH5pJ9o3aKgOrLHuBk6LNea4odsuyzo2fhSw0mkpS1198BuaXZjfFoOGykyTNTTCeOf6+bKkS3fRpqfkPwaNFEot+7EqImrMunTWFcw1F1fz49tyWqgsdfGleFi65Su2Hz3Qltw54ViU6DY7ljmy6hnLzjPxKAHLloKhApEra1fPDVVfLWVFioP8lzlLWG2WO4silmLQsIzkEhProptl/KzXLVPoJGdq+bfwxKBRnWvW+dkqn9YtT6slaHZXypumpaj8pP5Zt51tJmHa010ov7QT6QaND669nlt59Q8ll6HcqSdDt12aDpJaT8IdeqzbO/uPOmmlP83X0OxCKS2jLsVb26/2Md0zlHGM58uSLt1Fm56Spxg0Uii17GeoDlJZMqyWQzVSbVpdLWsFhC8apceyJ7aGTF50yS/LMPRyfaiOZW7iLAajeLilts/StVQlQi/tMbqh6usJPzw5mV3d19ehyp1FEaszaFjzoauvZSllNKdNTZl2ZeGJQaM6pywKpm/DNH0p9wt1tTR5dy2dNKVB70Btd/zGG2/kRdjBU20rv7QTbrLeiy+zdUe1EyefelryNLncqSdDtl1WXSRuiy16UBdb0Q/JLq7yOdvedr0gdyzjGH9bytBc16XbbtNT8xODRiqpFv1ZX7hqzLp2lkUc9YLUlx4VnqbOutZCbEhRx8Gy8GDq0O6m6Sp7fqiOZZk8VdetU3qKFsSyKNyWxRGr5G773lD1VUpAnTLq76+06hrujrvuLk36EOXO+gW5bmSI0qd0+jTXHYcuT9Y2NWVKw5gU29LCNkemnFjrtS9vWphO2/S28f6rYphyTwZ6dTC9bClH+d/vwIPdwoXdL5Kbkoa2lV/aCbtBQ4tfauRFSvmRn/Xmfdw9vOCRlOyd8TNk22Vpi4sWKbcYP1W/2t6Kfkh2Mxn4rxPr6ENfprbbaRf32ONPxMEtE7+XNV267TY9tZBg0Egl1aI/qyLVh0HDasFua9eQpi8aZYvFYtz2dBlrsRiiY2mV0fu3zB0tGyFgmU7U5bZnPk05xyHqq9XQJwVTz5S5IcqdNQ11Iwos9VxKVB/tZhlvXbe2qXV5qDDHpNhWpX2I8lYlT9k969QEr5yr0yIF/fd/eKAs6F6uW7dG9vLruNJqa7rTf3Jmp1sZp0BoW/mlnchrJzTySGtkhGWk6tw6fWmotkudHMt6XkWG5aE/nA3Frqj+Wte8C8vQ8iu8zx397e+OxphalL4uri1runTbbXpqnmDQSCXVor8hOkh14qsg6AUVNj5V5/FaFnXhF923xlk2usJiPVea4uGERbJ1dW2uKPpKv+UlWvY1/MUXX3IyflWVpfCeph+NzQ1RX0857XTTl9ciJSzkOES5s+72UZf3lqlpZQa2kEkf5xaZ3/v+1ZzWdahyljpZZyCqiqfpvSHKW47MuV8bfZslw8YnNvvcZPeHRYsW5YjQ6Bl1tCwjubzc4VHlbp8D5rt777t/kFEnbSu/ljpHO/F2F7YTljZbU/rOOe+C5PI7VNtl2SqzanSFxVDWhn4cgh2KXShDeG6RJ2xr/Lm2Xf/yrru7G268aVTT38I0tnlu4TUNunTbbXpqXmDQSCXVor8hOkgp4lvmeMULQKaEH/uxfF2qetFY56sPuaPGXFH0rVZ4feksc5avoGNYuDVOR9/19aZbbp0sEulf/inHOiNd3+VOw5E14iBFdvmpa0+sC7OljHaI87mL3xYlWBzqdmSxKEZhR6WLtFWFaSlva374I5PpUlKCmv498+yzJgVZ7459DzwouZxWled3vHM59+kttnLnXnBRr4vg3XbHneb2oiwdWpx2/qFfn6xN1dc6G20qv7QTb9bK3HbCukOT2tnUqSe5MlW1Myn3LFtlVo3gteirql9+29cUGev8DMWuTK7Hn3jSSVcra0cs1zVqQx9Tb7zpZqfyN21uWdSl22zTLeUBg4aFVkt+++4gpYptmR6gBkvKehPX1otGMljCSt1RoEnayp61KPp1awqUxdHGdcsWZ3VTRSxhDbmQYxm3vuqrGuPLr7zKrbrmOiZFIeVrUJ/lTkOXN9pkM1Mayr5K+DyxTt8YsjPvZdbRupOGFNcqZ1Fs9RVMCrrWfGjyt/NXd3evvvpqlVhL3bOUN4vyW+c3p81c8MijTot91oVtuS8D/Ec/vok77vsnTjp8qttdOYWteBSnRcY6v+poKO81LVSGgq5cm8ov7cSbuWRpJ+K2squpJ01kyi171o9dZaOAFb81rDY/nA3Bro75eRde7PSOqWtHLPcVnrj1bRSuS2uT+xb9d1p06TbbdAt7DBoWWi357auDZBXXsmOIGik1srlOLwfLYp51i5BaredNZM9Ns56zKPo5ynkT2cJnLYt5xgpRGI7OrRbquryOw+/6d9f19bnnn5+8wDf97OezOiUp28T1Ue60sJzmx6ojZFFi1BHTFJsqZ31B7rbnPlXB9XbPOh1O0weqnEWxteRBld+6+l0kr6W8VcVtvZfbZuaMirLIplEoMjpUrXNTxDH1mr5s7r3/fFO9s8ivjoZ2GLv+ht+2/hXVWrdVtsqcNSzaidlTTjzXLqaeWNqunDbHyx4eLe2v3kN1u+BZPpzV7doVyll3PgS7Opm6MqT6dsmPeFOedGlQrUtn0/vLoi5tbYer2nQLfwwaFlot+e26g5QrprUQ1s15r5LDskhOyotGBdmyBkjdF+Eq2Zvcsyj6ucp5E/n0rHUxxxTjkOWFXDXss2nacp631tcVV/lg0hfxlVf/UOMOSKrSZCl3+kqw6+57TTpI6iTV/WkurDpsuV+IZciRMaTKWXcuKNpxpyr8ru5Z29S6DpalHnnFsOkxp3NhKW9N5Qufb9JmXnLpZU71KQyv7XPVEZV38Wl7eLUMx5adKnLTpjU3Dj78SPfoY4+3Um2sdUTsyhztxJtkLO1EUf3Wrgzb7rhzcl3QCCeNdKpyTWWqCrvsnqZ9pJbzlO1WLetxKN6qqbhlMhddH4JdkRzxNbVhh3z9G9nv/tS8kUFV78ah1vmJ0536e1nVpdts01NZyx8GDQutlvxaO0hqzPpw1kJYp3xXydz2i0ZxWbawqxvaVSV7k3sWRb+Jct5ERsvOM6kdasvie1L69SVkLM5aX1Nf0m34O/LoY5IW8rOUuzbkSg1Dioqm2dQ5S/lR3H21mXVyS6GxrCVS16ZaFNvUPKjzV9ThqUv3UOWtaZupKUKanlPHpI37q621buu7jKgjetBhR3TewVD69QV1+513bbzTi1XvqDJo0E68WTMt7URZ/b7n3vtM0x9l+K4y0rUhU127E963br0gyvAAACAASURBVJWZMjJ0qA9nfbMLOdada62dH5x0SuvTT4raWOmGWqfotzffkqT31Mne9f1lVZdus0235BEGDQutlvxaO0hqzPpw1kJYp3yXyWxNf8qQesVltYYO8RXXoug3Vc7L+Fddt76wU+eJWpWLul07qtLQ9j1reS16EXdxbcutt0tefNBS7rqQtShMKScahq8yV+fmakfFWnbq2lSLYlvEPOdaWYenKs+GKm9ttJkLFy6cbPOoDnsOL+sz62+4ce3uNlWs43uqT1ddc61TuFZZcvyL06FHfCN7+1er3jGNBo0h24mq+m3ZbUvGaa2rUOYsbVeVTGXhx9ct7wzL2l2WTmpbu+j0zS5mmfJboyc0+iynDbE+I91Bo9FeeOHFFNEG8bMs69JttumWzBPz4j+N3nBOmmaobRb7fTOMxYsXu7f+lrjFi5e4xUuWuDf+df1tFsGm2a/15TVtBg3LIjmWF40Kp2W/8Q0/+SmnRcT6dBZFvw3l3Jo261oklpW8LaNyUha6tKYt17+1vlpfzjn+tehm3RDfML2Wcpcjj/UZKSTaXaLqi14ov0U5lSx9tZmhjEXn1kUKMWi8vZFC3Gab+fs/PDAZ5qyOmrV8W/0rDrWPeoe15WRE/smZZ/Vm2ND23Nr9wOraVH5pJ96k31YHWGWoraknbcmUWr662l3N+uGsydRsn9a+2fl4rUeN1tDUPRk29I63toNW/xpNd/udd1nF7MX/sqxLt9mmWzKr3ECBQcPC0eTX2kHqSzm3FsI65bsMSlcvGsVnsZ5bjCVlabFet3Qs21TOU+W0LHpl3S3Gsm6KXmwWY0lq+nL8Weur9aVs9Z/TcbCUO6s8Vv/6onvMscclGzOUZ9aOyne+d3xOVrf+TNttqkWxteZLmf+cr6VDlbcu2kyt76Jtkbse8WAZsWQpqOpkaIi23tddG2dS1lKIZbfWEZWtMkc78SYZSztRV7/bmnrSpkxl+e+vWxciTx0FrPCtH87a2Iq+T3aeYZOjGP3hgQcnW0BrzZ2yd0sb16WHalHnsbllWZdus0235CsGDQutlvxaO0hqzPpw1kKY02l48cWXnDpkqQ2Z1bpttZ5bXmRt5IFF0e9COa9Kg3XnGa16b1l92jrtJHU6S1Wa2rhnra+pZdvqTx2e/ecf4hYtWmROlqXcWeWy+NeWtFozQy8ei7O2TbnGVotMKX4tq+yLY53cFsXWki9Vfus6PEUchipvXbaZKrMPL3jEad0aLYJbxSz3Xt2w/SLWlmtqr7XWlNrWrowblqlwkt1at6sMGtaw6uqbhW0Tv0O2Eyn12zr1pGi3EEvblSJTFe/rrr/RabpHSj3Uh60rrrq6Kril7vX94axPdksltuEFjcLU7kjaAtq6A1pK/slPjiG1YbIqH1/WdWlrO1zVpleCjm5i0IiA9PHT2kHqy6Bh/bqRI5deHHqBpDRUOS8a5Z+MICnhy0/KytZtlgmLot+lcl6UJuu2vfpqaXV6JjVvUhcctcpg9W+tr6nps/jTVx7Ni7caAnxaLeXOIleqX32l0XoZOcYYpcG6uKY6Va+++qpP/mBHLTJp+UJV16ZaFNvUvKnzl9O5sJQ3jdhZY90NknYG0hDjqr/PbflF98yzz3ae3964oTKt6V9trrfR1xdHGTfUMVNHQzsz1ZUDy/26BSLDDGpT+aWdeJOspZ1Iqd/WqSd6X8XTj9qWKSxD8blFB8yZemydSpiy4GichvB3n+zCeNs+l3HjxptudvscMN99cO31Wm1zrIbUttMWhres69Jttukh17pzDBp1hDq4b+0gqTHrw1162eWmeW9Wq5oKm2WNC43k0IgOq7MYTfTVu88dNSyKft8GDcsaF6uvs77TVyWrszb0bW17ZpUz9G+trxbFv8qvyqbmosqQoWHjTZyl3FXJZLmnTp5WJFfcqWtllKVRxgkpLKnxa2cRdW6GdudfdHGyzErbz35+TqXIFsVW7P/4p4cmX8ClYOT+Pff882ZDmqW89d3OVQLOvOmNAxq11sbIh5ROZqaohY95A41GXbYx+kQfI1T2U1ybyi/txJvELe1EalmzTj3RGkn6Uu1dFzL5sMOjdZRu7uLwFqNJ063o+2IXcuzjXHmlj1wf/fgmpr5HmR4gTmNwy7ou3WabbslPDBoWWi35tXaQ+qqkUmbKGor4ur466uujxfX1orFOa9lltz1mvXgtabL6Hauib50OkrsLiXUo3mabb5m8k4c1L1L9W+trXFdSf8uAoc7Errvv5c694KJW020pd6ny1vmbf+jXzR3hqjzZc98DOm2fquLOvWdRelNWxJ8riq2lvE2DQSMsHzLeKf1NFsaTQUCjJ4Zyjz72uDv48CNNo4vi9iB1ymDbyi/thJssihznR9nvVIOGyuLxJ56U3PGUYS+cetJX22WZDpLS5pbVQcu0lqYfzvpiV5bWPq5rrSKNeNN21mVlte56G+uVNE0runS70wgt+YFBw0KrJb/WDlIfBg19YdLXpboGw9+XxTkeUliHRy83New+jKrju1d8v9NuKLlOVveq8MN7fe6oMVZF3zLdqOnLWV+hQ/5V57nTjnLLTdFz1vqqOfbWr+EvvfRyUdStXWuj3FnmUStPNWVIixG25SzTlRT/0IvKWg2rKW3qXFFs2yhvbZWbocKRcnXnXXdnb2XYp6G9jJGmiH33+O9nzX1PfYe3bdCgnejOoKF34Re22T75/R1OPemj7VKd0/SOKp0ivNfkg4m1fbeuORbWyT7YhfENeS6DsHTElVZbMzkffZ421U3bSDe6NAaNNsrRnAnD2kHqw6BhXZTKOkddX+aloPmGp+7Y5EWjgmDZGlay9NX5Gauib9l5punwSet2Vn0v3Bo3JGOsr7GMdb/bKHdWDqpX2vJPXyzacNb1KFK/ELchW1EY1jYoReGdK4ptG+WtiOlcvKbyf9BhRyQb8/27cSzTpsRcdU9rl3jZUo8n/PDk2ixr26BBO9GdQUOZedsddzqt85JaBvxIvT7aLqtu0XRKq0Vvsu4KF1acPtiF8Y3hXAswWzYQ8OVRI7SGdJYyMa26dNttemp+MkIjlVSL/qwdgz4MGpY5X2o4rPMOrS8arYZctfhb3T0tMmdZqK2vzs8YFX3rFmcaSqqGuC4Pyu7rWcs886GHEY6xvlqbo7bKnXYoseSdRticc94FVnEL/Vu/iKV+IS6MrOFFvVgt6wWpTU1p5+eKYttWeWuYDaN5XF8dtVCmV7pTjjnTOrtMsLZGtHRklUZNn1NdqHJtK7+0E90aNJSX1qknem/00XZZtspU+Vx59Q9l6zHSb/R8Sl32fnI/nPXBrqqODnVvwSOPTnYw8fxSjloY+pVXXhlEZHTpN7G33aanZiYGjVRSLfobWwdJq8JrpfaUxkJ+cuYdWqYZpMrRpr++dtQYo6JvmQvaJvPUsDSMMJyL22JVTApqbPU1SejIU1vlTh2znXb9WnJboTxW29LWzhOWNSkUt77WhAvTRVg6+6nFOGVUTS3jqcaXuaLYtlXeOsugAQK2vmdVdsRxTM467SxlfYYulF/aiR8ktz0peRSXQb0TLVNP9A7QKKXU9jBHJuv6XKmytOkvJ11iP1fa/bictPHb+hFlyDWZ0KXfzPEu2vSUsoRBI4VSy37G1kGyKinW3Uesi+S0+QKxhNV0+GFKMRmbop/zJdnCtC2/Q84nH1t9TSlnsZ82y51ljqjPf60rUvelNpa56Ld1GocMBb+57oaioDq7pnRqmLVPe8oxdYTYXFFs2yxvnWXUAAFb1nZSudF6EGNy1qmpKVtidqH80k50a9BQmbROPdFovZS2UH5yOv5333OveQRRqjxt+Us1XMd1fq60+7Hcbfy2jrjqc028MH3o0m/R6KJNfyv08jPlQfGfcxooqLGC4XjBYr9vhrF48WL31t8St3jxErd4yRL3xr+uv61cjGXrzpg6SNatuNSwWzv+c+FFo3Q1XbcjpRSPTdG37jzT1ovdGk7TuYYpeVPmZ0z1tUzGuuttlju9BKwddg1VlwLc1OUYRzffautWd4ypS4P1i5JGIMmonOLmimLbZnlL4ZLjR/VailfqXxsL91q4qI1Ufpc5beWsUR+p8qut1wirJs7aFqZ8Le1C+aWd6N6goXJkmXpieefnGDSs06Yt8rTp16o/i/NY2n29+7WNd2qbI3/acKCp223PfZKNYX2Nto7ThC79FpEu2vS3Qi8/KzdQYNAop9bwjlUpqFJqmoii+V5a3NPSWK+65jpORhCLszTGFlna9pszlcbCQX4tCm2KMmiNP/Zv2Xmmbd7W8DRtaQg3lvraJO1tlztt67jBRp8wtR2aqtK0QyUG1nnSKmdav6CNuOvyIGfOr2WNGEtbmtMpqEtf6v22y1tqvBZ/FpYqQynrQdTFb+GiOKtGaFiVxjbW5LC2hUON0FA+0E68Pal9btJO5OiQKe99q0zWcpkiQ1d+rCOcVZYtbZWVXV2bFd7P4Xz+RReHQWSdWwwaQ43QQJd+K2ut7ya9F9twGDTaoGgMw9ooqDFr2+lFtPV2OyS98MKG3a9YnSqPdZGcMK4hzjX3tktnUWi7NmhYd54ZIj/COFN2gegi78ZQX5umq4tyZ52qpsVE21gLxZofKkMaBaE97vXC68q98MKL7r+33tbUplpGZ0jusSi2dQy7KG91cVrvW7f3zOmIxDJJuQ/btLrzKkXvL88952QwqAsjvN/UKKzF9rToXhhm1XlK56or5Zd2onuDhsp3zmKxVWVG91LKTVi3rFOM6uLv8n7OVvRjafc12kJ6mIWPdQOBMF91rne2jMmpcXatN8fy6Te69GwqXbXps2NZ+hcGjaWZdH7F+qJt26Dx56efNo/MUGOiRe602J3FzaUXjdJo+Vpq4eD9jknRt+48k/pC6cpfk23PPP+c49D1NUfm+Jkuyt3zz7/gNv3s55MVDZUL+ddzTZ11Wofi1q5Hxxx7XCcjNdSmamqLtexbeYxFsa3Lvy7KW12c1vtXXHW1s8zrz53/7uWSsmXZ+aZuREVO56LpWkTW6aMpo1q6VH5pJ+qNGlbjgS/P/qhyLWOxjLPW9q/Mv1Umy1aZZXH2ed26Ff2Y2n3rgrtNp3Jbp3IMscsJurRvDd48dtmmz45p9i8MGrN59PJrqA6SMvsXv/yVW2m1Nc0vHr2sNF/S6qyLoPX5UimKSwrur359hTWZyf7HpOiPfeeZovzJ3fYsOYMKPA5VXwtEyb7UVbnTF2dLp1B52oaBVtNHrNtg+vK03U67uMcefyKbZfig2tSrrrl2svWfDz/1mDNiZUyKbcghPu+qvMXxNPltXeBS+dpk2pR155t1NtjQPfHkU5VJtL5fmyySq7KuxX1Ty7f8pdT1LpVf2onuDRoqoG1PPbEYNKyLRlrKb1d+rR/OxtTuW/VG9R3OPOvsynas6qaetRjLdt97v05HYhbJamXSVbmyhNulLt1lm17E31/DoOFJ9Hjsu4OkxcNuuPEm89fUsHJorQ29tCwuZ0hsGOdQ5102iGNR9HO+7g2VH2G8FkXHUlar/PZdX6tkyb3XVbnT4nvb7rizqZOTsw5PUbpz1qvwZWn5Fd7nvnv8992iRYuKgk66pq8y2++8q0nZ8vHruO+BB5m3lB2TYlsFqavyVhWn9V7OwpEy3p119rlmhTmnY73jV3arLR8yvlsNivqCqelRVmedWpC6JlXXyi/tRLVRo613qrV8hG1hfG6RyTrSKo5riN/qoFumX46p3beO0hLf9eZ93D34xz9ZmxyXU3ebTquzCokuvTSxrtv0pWN88woGjTIyHV7vo4OkODTdY58D5jfeyipnqonwWZUtDVtURWj7708PPWSa99vljhpjUfStL6W99juw9Xzx+fyVr+2Z3CFuOuw7p1r3UV9z5LI802W5++3NtzitLG5RDPfc94DazlpK+qQUaqSDJe7Qr4b1q4288aabk6aiyKh77gUXTYzDlq9GYZw6t0418SzGpNh6mYqOXZa3ovhyr+XsjKDy9uMzfur0oSDFyXiwwy5fNZVRlS0talnnrMOxfTnU9KjUUUpSElXPrHU8dah5H8ov7US5UcNiPKgqjyonbU09SZVJcVqmcWnaqrbx9rpHm0cZVix1xDL9a0ztfo4hWO2OjBp33nV3VRGade/mW39nHvnYpe4+S7jgB7p0AONfp3206UvH+uZ6K8VGDXY5KeLVyjVrB+mTn958MrxaQ6yr/jSK4kPrz3P6+ugVl6ZHhZWzSnHOi0YNQ1fOorimKpM5so5F0bfw6HoajtXwlbPtWU5e+Wes9VXKx9hcl+VOdd26jas6hZrf3tQp7raUaNX71dZa12lKStzOqnO24iofbKVdlVKtr5k5bkyKbZX8lvK25oc/4u646+7WOxn6clbnmsx9/sRmn5t09MvikbFBZTNniudGm2w22ZK1Tn7dz10/QO/2gw47wj284JHCEScaVXL9Db91X9hme/MoJNWl1K2I+1B+aSe6N2ioLLY19STVoGE16H1x2x2cOuRdOGtH39L5Hlu7n7ODkPoiWsfqq3vs7e66+55Cg7CMxLonP/Jr7b9YNy1ooxygSy9NsY82felYMWgUMen8mrWDZK3UbflXp+O8C/O2XNLcX80BTpWlyxeNMtRqRe1qRw2Lot/Vas3W8med72mtQFalJGUrQKsMVf6tvJY1g4bYWdcHULugr8TWaWxF+aSOlzp16kSltjdD+ZMxQyPnct3YFNuydFjaua7yQjKkOK0N1aTseEOYPib4vyYfFSzGAKXv8SeenCxm3YSj5PWy6yjDXhMmFoNMX8ov7USxUSPVeJBSl+QnZ8ReXHZTZdLIG0s5VeezS2fp3CrNVdsyh3Ja2v2YZZPfZW2odCIZOpuErf6FjDq+3dFI8BwjhpehramsIfe6c6tuuKzo0n216XH+yHBd/McIjZhVa7+tlcBX2D6PuSMzPCSrBTe1YffhW49W63lXO2pYFP2uDBrWnWe63spWDZBl2GjXI0bismWtr8uiQUPMrEqXteMW50v4W52VQ77+DZNy22d7qrjUpmhYchNnYZzaKWgiT9mzlnauq3woU8Zjmdv6qtxWOtRRUJtjcfrwoA5CWzI0CUdyqKOZ6vpUfmknljZqtN1O6H1+7HEnNCqLKTJZt8pcZY213X33/z61WGb5s344S/2QZ2n3m9Td+NmqNrTNNVPieK2/pUvkbFqQlcnBQ+jSAYzgtM82PYi2xJghIwcGjZBTq+fWDpK1cjf1L0tnk6+IY3zRKANlNLGw6cKab1H0uzJoWIYoy3jQtBOWUnmsC3tZtz1LkaHMj7W+LqsGjWeefdbpy6yljuWuz1OUVxquqiH+Tb7yWGS3+G3apvr0WhTblE6BD7fto6Wds3C0+K1SxuP03nbHnY3XmrLIVuY3dzqS3rlaZLYs3D6va7qWDAeprm/ll3ZitlGji3ZCRsKcbax9OU2RyTpdrKtRt2E5ty4QmfrhzNLue4ZtHOva0Kaj29qQUWHkbFoQ5lvuObp0Mbm+23QvRfHoDAwank8nR2sHqa1KnxKO5o//+emnG6Xbuh1eymrujQT618OyzstKn8JBflJeqla5LIp+FwYN6xZnm3xmC6dnunbWHXFStjRsS2ZrfV1WDRrifc55F5h3XWhz3qteaDkLGKa2CTn+PvP5rSbrFLRRHi2KbRftV2oaLO1cDtOUZ+qU8TgtQ39xbDoqUkYEGRNS2HTlZ+vtdjBPIxtC+aWdeMuo0VU70WTqSYpM1q0y+9r9wvrhLEVfsLT7bdbtujZU9aitNaxy5dZHFO2G0rdDly4nPkSbLmkwaJTnSWd3rB2k3IpueU4Ll2k7utSV26vgWOcR9vWi0VcsGU9SuXSxo4ZF0e/CoGFdgPOIo75VldWt3lNcqXmjIYYpuwC0IaC1vqYoKG3IZQmjr3KnqV3WbVxVz7TyfJtOOzjoq01qeerCn0aKHP3t77a6CJ1FsU3pFLTJPAzLUt66YK8w65TxUF5/nrOyfhvya3eESy69zIuRfVT900KflnUF2pBfYey069fMxgwldCjlV3HTTnTz4UZs1bnInXpS13ZZpxCvvs76Th/a+nDWD3opuwFZ2v226rPCSWlD1Wf4wUmnDDLlTR/ctIbQEA5dupz6UG06Bo3yPOnsjrWD1GYDFYelbQuPOfY4t3DhwlbSO+YXjRJoteprSFmbzqLot23QUGW3rFWx3HtWctddf2Obya8MS3EpzriMlv22bHtWGXHNTWt9XZYNGkIp44SMFGX5VnQ9Z92AmmybGGdlpM3ZZaJIRss1bct6733314lovm9RbOs6BebIDQ9Y2jkLV4vfFGW8KEkaodinMUwLxbU5t1/t/E/OPKvV3c6quMtwJx3CMs0k5D6U8utlUIeMdsK2ZotnV3fMnXpS13ZZ16roaxSweHTx4czS7lfVVes9Sxt61TXXOk2ttMaR418G29333s8tWrSorgh2ch9duhrrUG06Bo3qfOnkrrWDlFPh655Zf8ON3Rln/qz1BuHW227vbC/uNjLDOu+y7SkXFkW/bYOGdeeZlC8HbeSJD0PKj+KsK7v+fl9fXaz1dVk3aEih23PfA5LzUfkpBeXMs872RaHVo5QeDYuV8daXna6O2spTil0bI92KIFgU27pOQVH4bV2ztHNd5YVFGY/T7Tu52u2jK/m0eOZhR36z1RE8YTo0+kCjJrpcU0bGGI1qaeKGUn5jmWknYiLt/M6ZelLXdlnawT5Hc3pi1kXx60bCWtLbZntlbUP1YVSLyHe5QLHa5F/88leTEUCed99HdOlq4kO16Rg0qvOlk7vWDlIbDZQada07IAXqDw882FljYFkkZ4gXjTpb+rKfyrTtRTEtin7bBg3rS7bt0SkplclSfpSHXe+OI5mt9XVZN2iI2T333mf+WrPBRp9wjz72eEoxyfKj0WP6Eiujg9qe1Dagzp+Uty/vuru78667O2tXfYItim1dp8CH2cXR0s7V8c29b1XGizho1MHZ557v9AEgV474OZWX/ecfMplqURRn29dkxN9jn/1b7WTIkKG1atow3A2l/JZxpp0oI5N3XZ2MI48+xlR/qtou64cPbQ2qOtCns344q9uK3tLux+1Nk9+5bejzz78w6Wu0+RFBhozTf3JmZwZgS/lAl66mNVSbjkGjOl86uWvtIFkaJClLasA3/tRnJ0rMyaee5rTYmVZf7trNhReNGFgbozZ31LAo+m0aNKyGnC7WD0kpf9ZtsFK3PUuJu8yPtb5i0Hhz/rRViVU7p2f0UuraPf3MM+7HZ/x0MrVAizFa2lj5/eDa67mv7bWv0zzaPtpWz8Oi2FZ1Cnx4XR0t7ZyVfar/XGW8iInK5MMLHpmM9NEidNZRDypjaqtkBOizvIRpUbwqrzt/dXe34iofNJV5/0FE9VMc2qyjQym/IZuyc9qJMjK26+rgahpeat2tarusOkJfU1NDIlZ9q24reku7n8o4xV/TNlQG4Rtvutntc8D8yTszJc7Qj96zevauu+9pxXga5lHuuTVvl0Vdeqg2HYNGbqnmOQhAAAIQmAoCL730stO87HMvuGhi6NjvwIMnO0Zo1wiNatNXeil3Wk19qA7pVICekkRoZIK2Kb762t9Mysw3v/WdmfKiMqMpTipL+pigsjVGJ0PtAw/+0V34i0uWKvMaNq71plTmH3n0sez1McaY7iYy0U40ocezyzoBvTv1DlW7ovZF7YzaS/3pnauPDGqP1C7xnl3WS4s9/Rg07Mx4AgIQgAAEIAABCEAAAhCAAAQgAIGBCWDQGDgDiB4CEIAABCAAAQhAAAIQgAAEIAABOwEMGnZmPAEBCEAAAhCAAAQgAAEIQAACEIDAwAQwaAycAUQPAQhAAAIQgAAEIAABCEAAAhCAgJ0ABg07M56AAAQgAAEIQAACEIAABCAAAQhAYGACGDQGzgCihwAEIAABCEAAAhCAAAQgAAEIQMBOAIOGnRlPQAACEIAABCAAAQhAAAIQgAAEIDAwAQwaA2cA0UMAAhCAAAQgAAEIQAACEIAABCBgJ4BBw86MJyAAAQhAAAIQgAAEIAABCEAAAhAYmAAGjYEzgOghAAEIQAACEIAABCAAAQhAAAIQsBPAoGFnxhMQgAAEIAABCEAAAhCAAAQgAAEIDEwAg8bAGUD0EIAABCAAAQhAAAIQgAAEIAABCNgJYNCwM+MJCEAAAhCAAAQgAAEIQAACEIAABAYmgEFj4AwgeghAAAIQgAAEIAABCEAAAhCAAATsBDBo2JnxBAQgAAEIQAACEIAABCAAAQhAAAIDE8CgMXAGED0EIAABCEAAAhCAAAQgAAEIQAACdgIYNOzMeAICEIAABCAAAQhAAAIQgAAEIACBgQlg0Bg4A4geAhCAAAQgAAEIQAACEIAABCAAATsBDBp2ZjwBAQhAAAIQgAAEIAABCEAAAhCAwMAEMGgMnAFEDwEIQAACEIAABCAAAQhAAAIQgICdAAYNOzOegAAEIAABCEAAAhCAAAQgAAEIQGBgAhg0Bs4AoocABCAAAQhAAAIQgAAEIAABCEDATgCDhp0ZT0AAAhCAAAQgAAEIQAACEIAABCAwMAEMGgNnANFDAAIQgAAEIAABCEAAAhCAAAQgYCeAQcPOjCcgAAEIQAACEIAABCAAAQhAAAIQGJgABo2BM4DoIQABCEAAAhCAAAQgAAEIQAACELATwKBhZ8YTEIAABCAAAQhAAAIQgAAEIAABCAxMAIPGwBlA9BCAAAQgAAEIQAACEIAABCAAAQjYCWDQsDPjCQhAAAIQgAAEIAABCEAAAhCAAAQGJoBBY+AMIHoIQAACEIAABCAAAQhAAAIQgAAE7AQwaNiZ8QQEIAABCEAAAhCAAAQgAAEIQAACAxPAoDFwBhA9BCAAAQhAAAIQgAAEIAABCEAAAnYCGDTszHgCAhCAAAQgpHywgAAAIABJREFUAAEIQAACEIAABCAAgYEJYNAYOAOIHgIQgAAEIAABCEAAAhCAAAQgAAE7AQwadmY8AQEIQAACEIAABCAAAQhAAAIQgMDABDBoDJwBRA8BCEAAAhCAAAQgAAEIQAACEICAnQAGDTsznoAABCAAAQhAAAIQgAAEIAABCEBgYAIYNAbOAKKHAAQgAAEIQAACEIAABCAAAQhAwE4Ag4adGU8sAwRe+/vf3VN/ftoteORRd/Ell7pzL7ho8nf3PfdOrr/00svLAAWSCAEIQAACEIAABCAAAQhAYLwEMGj0lDc/PuOnbu/95yf/XXrZ5a1L9vCCR9yBhxyeLIPk/fk557Uuh8K0sDjjzJ+1LkMY4BtvvOHuu//37pvf+o7bbPMt3fIrvM/92/95e+3fO965nFt7/Xnua3vtOzF6vPzywjDYTs9lcDnu+yeaOKYyP+zIb7qzzz1/xoDTtfHGmpa268bjTzzpDjrsCDPLC39xSad5TOAQgAAEIAABCEAAAhCAQDUBDBrVfFq7e+qP/7e2gxx2onffez+nzGnT/ezn55hkkDzbbL+TU4ezLffqq6+6LbfeziSH5G7bie29993vxDnVgBHmT9H52//jXe4Tm33OnXnW2W7RokVtizwrvL/+9a9uiy98ycSxSObUa2L0xW13mBg52jbcWNPyvRN+MItFkx9Ki7U8ipmeaZtDk3TwLAQgAAEIQAACEIAABJZFAhg0esr1W2+73a2w8geSO6CbfGYL9+KLL7Uq3Z77HpAcv+/orr7O+u6hhx9uTQ59DV9rvY8my7HKGmtPRk+0JYBGY1x0yS/dvI03TZbBs7Ac3/v+1ZxGOixc2M2oDasRwCJ7nV+NTNl6ux0mBqE28sWalrYMGv/4x+uTURl16Y3vf+Rjn5xMRWoj7YQBAQhAAAIQgAAEIAABCOQTwKCRz870pIwTMlLEnaOy32135K3xe7n+c7n/cldcdbUprVWeFZbC9OHXHTUKQR3epk4F/aprru3ckBGnRyMbNDXkb6+91jQJs563GgFiudr4rREp2++8q3vs8SdmyWb9YU1LGwYNlQfli9JgYfG+D6zlbrrlVmsS8Q8BCEAAAhCAAAQgAAEIdEAAg0YHUMuCPODgw0ydp/MvurgsKPN16wiRsJN3xFHfMsdX9sAJPzzZxKCNuDVKYrc99zF3XkMGTc/X33Bjd/OtvyvDYr5uNQI0lb/qeY080qgXNSY5zpqWNgwa5114sXvXu1cwlUX513M4CEAAAhCAAAQgAAEIQGAcBDBo9JgP1jUs2ujM++RZ1/AIO7BtraPx+uv/dDt+ZbfkTmQbo0Ou+c117kPrz0uOM0x32+fqEGtUgKY6NHVWI0DbaYnD0zSUY449Litt1rQ0NWjcc+99btU11zGVCY3kUN7lGm2a5jfPQwACEIAABCAAAQhAAAJLE8CgsTSTzq5oJw1NJYk7g2W/tfCgFtFs6pTJu+6+V3K8sTxa80JrXzR1f3nuObfhJz+VLIf86pkcpzRrdxTrV/g47V383mnXrzVeUNJqBOgiHXGYuZ1+a1qaGDRyFwHVDjFtGKJyyjLPQAACEIAABCAAAQhAAALFBDBoFHPp5Kq14zaUISHuqLYxUkJANeVCi2XG4Zf9zt3pRQt/HnvcCYNOMSlLk7/+31tv61544cXscmYtSz7ero850zKsack1aOQuAsqOJtnFlAchAAEIQAACEIAABCDQKQEMGp3iXTpwTSNJ7VS2ZUi47vob3XLvWSk53iL5vvO945dOjPGKdcpNznatKtA5iz0Wpbnra006ylYjQNdpCcPXdA5N60h11rTkGDRyywU7mqTmIv4gAAEIQAACEIAABCDQPwEMGj0zt+7yoUU0mzrrQpxh59Sft7GOhmXb2JxdXlSYjz/xJKf1HLzcbRxXXv1Dk3U41lh3g9bD1vanmgZhdVYjwIqrfHCSBq0nUvWnUUFtTNPZZbc9nNZMSXHWtOQYNHIWAWVHk5Tcww8EIAABCEAAAhCAAASGI4BBo2f2Tzz5lFtngw2TO9xaRDO1Y1iUFOtCnGUGgKbTX6zbxuZs13r5lVc17oxrNxKNRrn7nntLt4vV1IUH//gnp4VWJWdTA8qRRx9jXmyyayPAa3//u7vjrrud1o7Q1rNl5aLs+rtXfL+74bc3FRXJpa51nRZtsyrjRJmsRddzps4slTAuQAACEIAABCAAAQhAAAKdEsCg0SnepQNXR1GjHYo6UUXXmiyMqditBpQiGXSt6fQX64Ko1h1eFjzyqNP0gDL5q67LILH9zru6e++732xYEOPnn39hssOHZX2QUJ6cznPXRoCw5D72+BNuu512MbPd/6BDk3h2mZaccpG7uGnIjHMIQAACEIAABCAAAQhAoHsCGDS6Z7xUDBoyH3Zoq85XWPkD7tbbbl8qjNQL1ikuVbI0WUfjokt+mbxIp9V4ohETWkC0Svaye5/Y7HMTQ0Yqzyp/CxcudLvtuU9yOkOZrGs1dGkEKErjokWL3M5f3d3EONUY11Va2NGkKCe5BgEIQAACEIAABCAAgekhgEFjgLy0LtKZszimT5aMEGHHucl5k3U0LIuhakqORpakOhlLrOs+6Cv8QYcd4f722mup0ST5U4X6yZlnZU3TmH/o15NGNEiQrowAVYl8eMEjbr15H08uT1qIVmW9znWRFuWDpvJYy3uThVrr0sl9CEAAAhCAAAQgAAEIQKBdAhg02uWZFNpfnnvO6et1amfrgIMPSwo39mSd3lInT+46GlY5LOuGaLrHpp/9fDJLpVHGDG3rqu1du3IaGWNdt8EyGqcLI0AKi6OOOdbEWuuM1Lku0pKzCKh1lExdurgPAQhAAAIQgAAEIAABCHRLAINGt3wLQxd0yxSJz235RffKK68UhlV18aGHH3arr7O+qQNaZdSwTgXxsj3+xJNOxpCqsMN7KZ1gH/Ypp51unuKhhS41TaVrl9OpTt0dpAsjQAoP6+iiFGNc22nJWQSUHU1Sch8/EIAABCAAAQhAAAIQGBcBDBoD5YemkYSd+KpzGSVknLC6Sy+7PKmz/+/vWj7Jn2TMWUfDso6HZZSC1kjYbPMtkzlK/j6nFKhyWac9qGOtHVbqXNtGgLr4/H2rcUpritS5NtOSswhozqKsdWniPgQgAAEIQAACEIAABCDQPQEMGt0zLozBsuuHpkjIOGF1qetWbLPDl50Wx6wyqvh7OetonPDDk5PCVhybfGYLpy1eU9yvfn3FZPcVL1vd0WIsSYk/xU/OlBhN66hzbRoB6uIK7z/156fd2uvPS87PPg0aOYuAsqNJmLucQwACEIAABCAAAQhAYG4RwKAxUH6p067Oe10n3N+3joywdHjPPOvs5Ckw1nU0Xn/9n05rYvh01B1TpigoyxSupmfUhRfetyy62WaxOP+ii02Gl3kbb+qefuaZShEs+SsG2lmnDTdWg4amEGkqUZjfKed9TT9qgz1hQAACEIAABCAAAQhAAAKzCWDQmM2j11/qvKd0uuTHOjIidQTIKmus7eQ3dQqMdR0NywKo+lquHUtSnHZB0W4oqfxSp3KkxG31Y50ak8IYg8ZbuaBG7Ljvn5g8bcqXmT6nH70lLWcQgAAEIAABCEAAAhCAQFsEMGi0RTIjHHXe1Yn3Hayqo7bLrPtqH4qgUQFV4fl7W3zhS5MtQFMNIHrO8rX/1ttud5rq4eOrOlrWCkldH8THl7rYZsiwzfOTTvlREgMvr6YLVbmhDBo33/o79973r5aclpSy0jQtOYuvsqNJVeniHgQgAAEIQAACEIAABOYGAQwaA+aTZReS5d6zktMOE6kudfSH7zhrFxXtpuI71FVHy2iR1JEfis8Sbur6IArXMvIjla/Vn8VgJJk1euDVV18tjaapEaA04JobFsNMKvcmaXl4wSNOxr6q8hrfY0eTmkzmNgQgAAEIQAACEIAABOYIAQwaA2bUa3//+6QTH3e4yn6nbmeauj6HOpzhYqOpRhBN9dCUjxS3574HJHc2U77mK04rN8vIj5Q05fixyly3VkkTI0CO/HrGusCpn85UF19uWnIWAWVHk7rc4D4EIAABCEAAAhCAAATmDgEMGgPnlTrxZQaM+Prue+/nlGF17o677nYrrbpGbbhxRz91CkzKGg+S0TLqwzICxbIuhxjWjXao49nWfcuoEk3r0PSOMpdrBCgLr+66yt2xx51QW6bCMps64iYnLTmLgMqAp7U2UupQHQ/uQwACEIAABCAAAQhAAALDE8CgMXAeXHHV1ck7YKRuaZo6zSPucFqmwKSMprBMs9jwk59yMlSkOEu46mCnbB2aEm9TP6nrmnijwMWXXFoaZY4RoDSwmhtvvPHGxBDwjncul2zQkPHg5+ecVxPym7etafnu8d/PWgSUHU2SsgNPEIAABCAAAQhAAAIQmDMEMGgMnFWW3TpShvArQzWSw3eKq46xUUJrNmg0Q9Uz/l5sDCnCaFm4M3X0ieKxLDQqeeN0FsnaxzWtgaKRKJ5h3fGEH55cKpbVCJDDQIaMG268yW362c8ny+zTtNEmm7lnnn22VP7whjUtH9v0005TR3xcKUd2NAmJcw4BCEAAAhCAAAQgAIHpIIBBY+B8fP31f7odv7JbUucsZZHF1OkYZVM8UqdFpKyjkRqWOqQaVZLqLIYSa9ipMuT4a9MQYzUCfPLTmzuNUEj922zzLd3yK7wvqVzGBgWV0zPPOjsZkTUtcXx1v9nRJDkr8AgBCEAAAhCAAAQgAIE5RQCDxgiyS4t91nXK/H0ZCapc6raaZVM8UqfA1K2jYVkEM2XkSZhmTcXwPFKOVVM3wnC7Pk9d28SnqWpURddGAC9DznHbHXd2f3vttWScXaaFHU2SswGPEIAABCAAAQhAAAIQmHMEMGiMIMssX+7rpnqkGkfKpnhYpsBUdbgff+JJp506UjrEW3zhS06d2lQ3Vw0aT/35abf2+vOSmIhbFd8ujQApeVbmJ2c0RJdpOf4HP0wtVviDAAQgAAEIQAACEIAABOYYAQwaI8iw1G1W1Yms2s7TMn2lbIqHJYwq44plvYi6USdxFs1Vg4Z1MdO5ZtBYdc113C2/uy3OrtrfXRo0GKFRix8PEIAABCAAAQhAAAIQmLMEMGiMJOsOOPiwpC/3ZWtfKBlPP/OMW2/ex2vDqZvioY502Rf48HrVOhpa0DL0W3ZeN3WlKHusBg3tLjIGZxmJI15zyaAxb+NNnQw2Oa5Lg4Y45owayUkHz0AAAhCAAAQgAAEIQAAC/RLAoNEv79LYUrdaVQetbPeL1FERdVM8UsMpM0aoUO26+15JBo0qo0gZrDYNA2VxdHE9las3/swFg4YWANW2uAsXLsxG1rVBQzzZ5SQ7e3gQAhCAAAQgAAEIQAACoyWAQWMkWWOZjiBjgTIudqkjK+qmeKTulKKOYlGn2/K8dnjRNBeLsy6uuee+B1iC78yvRop4Y0XKsWox0z6MAFUyypDx6S22cnfedXdhWbRAtKZFO7Vo1EWVfEX39Nw//vG6RTT8QgACEIAABCAAAQhAAAIjJoBBYySZY+nUFe1QkrqrSNmoihCDZYRFkUHCMoJCi5haXerUGt+p1df5V1991RpN6/6/873jkzvhVVOLJJilvHgObRy1JsXBhx/pHn3s8db4WNMiI9pNt9zqJIslTTLCHPf9ExsbYFpLOAFBAAIQgAAEIAABCEAAAo0IYNBohK/dhzVyIqWDttKqaziNUghd6q4iqVM8UndLKQovdfrMCit/wMn4YXUyTshIkcJKfqoWUrXGnes/1eDk07T6Ouu7hx5+uDQ6qxHAh9vkqEU/77n3vlKZcm9Y0+JHBZ134cXuXe9eIbkcKO3veOdy7vgTT8KokZtZPAcBCEAAAhCAAAQgAIEREcCgMaLMuOKqq51GUKR0OuNdSlKfLRpRUYQgdZRF0UiC1AVON/nMFk47vOS41DjEUkx/9esrcqJp7RkZJ2SkSMlb+fncll90r7zySmn8uUaAMMBnnn3WbbTJZskySS5t99v2tI3ctKjx0ogLjbxI5Sp/MoLIGIKDAAQgAAEIQAACEIAABOY2AQwaI8q/J558ymnEQ0rnTB360KWO7kid4mHZStZ/MZc86oSrM56ThjA9defW9Sj2P+jQQb/K//yc80wd7zh/Yx65RoA4HHFMNaJ5Y8DlV14VB9Pod5O0yLiy065fSypvYZlkO9dGWcbDEIAABCAAAQhAAAIQGAUBDBqjyIY3hbBMSwh3KkntEFqneGgxzbATWHYejvpIXdxUX9UvuuSX2fStIx407eShBQuy42vy4N9ee819cdsdkliKcQqb1Dz3eRYancK0SLZtd9w5WTaFt/lWW7uXX87f1SSMX+dN07LgkUezFgllO9c4J/gNAQhAAAIQgAAEIACBuUUAg8bI8ksdT98JrTqGayykdu6tUzxS18II19G49LLLk0YihPLnZIHF+OM5lnXqc+K3PPOb625w717x/Un5KllTjC9NjQCh/Fb5ZHA55bTTwyAanbeRlpxFQsWa7VwbZR0PQwACEIAABCAAAQhAYFACGDQGxb905Nddf6PTuhS+E152DHcr0UiHlHUE6qYxxNKkjrYI19FInfoSjuqI4039bZ3Gsca6G7g//umh1OBb8ZczAiJlekwbRgCfQG2bmzoax5fHNlm2lZacRUKVHrZz9SWBIwQgAAEIQAACEIAABOYWAQwaI8uvvzz3nNO2rL7jWHXUNqByKQtkpkxjiFFYOpoa/WAZNZG6lkcsU/hb27fO23jTJFaeYxeLWoYyxecayZBibPLyacHKlDUqLHmjsOtGp2j3Eu1i4uVIOe574EFOxpCmrq20qDHLWSRU+cN2rk1zkechAAEIQAACEIAABCDQPwEMGv0zr4xRGaJOd0qHUqMcXnjhxaRFOHOneKQYSySrZNFaBimLmlrX8qgCdtQxxyax8jz77LzmTIPQWhsa1VHn2jIChPGkTnfyLDWNRtNVmro206JFQjXiwsuYemTnk6a5yPMQgAAEIAABCEAAAhDonwAGjf6Z18aYunbFevM+7q665lq3yhpr13bgttl+p8kIitrIIw+p01lkyNAUkJTpMta1PCKRZv189LHH3QYbfaI2/WHHto/Oq6a2aNHJMN6689TRGQLQphHAA83ZxvUL22w/kcWHkXNsOy1asFRrY9Txju+z80lO7vEMBCAAAQhAAAIQgAAEhiOAQWM49qUx33HX3W6lVdeo7ZC99/2rOQ37jztmRb/rphyUCZO64KgMGVtvl7aTh3UtjzLZ/HXrtA7xWX6F97mfnHlWJ1u5au0RGZuK8qHqmrYf1QiDFNe2EcDHeeZZZ5umyGjEi55p4rpICzufNMkRnoUABCAAAQhAAAIQgMDcIIBBY4T59OKLLzmNYqjq/Pp7WhzUn5cdw0U7rcm1rItRFn94XR3gJtu1Fsmf+0Vesux34MFu4cJ2tiB944033Flnn+s0pSZMc8q5RgfcdsedRckrvNaFEUARWcNV2jRCRiNlcp01zlTjXM6UH6WHnU9yc5LnIAABCEAAAhCAAAQg0C8BDBr98k6OLXXtipTOshYZ1WKjuS5155IUWXLX8qiTPbfzKplXWm1Np2k+qaMjYllUie6862636Wc/bzZkKH4ZVo4/8aQ42MrfXRkBFKkWJdX0l5T89H7mH/r17NEuXaaFnU8qixE3IQABCEAAAhCAAAQgMKcJYNAYafalrl3hO5RVRy0yqozOdVdcdbVLGQlSJYO/l7uWR4rsMgrIOODjsh5XW2tdd9iR33SaMqLRFnVOu6xot5b1N9w4O07JaJlq4mXq0gggw07qwrSecZOFXrtMi8r9scedYM4flSN2PvGljSMEIAABCEAAAhCAAATGSQCDxjjzxaWuXeE7lFVHjT5o4p548qmk3UuqZPD3UqcL5Mibu8OFly08vuOdy7m115/nvrzr7pNdM7Rzhv722Gd/t/GnPjtZgyP0n3uuhUO13oPVdWkEkCw527huu+POSTu0xGntOi25U5L6WDw2ZsFvCEAAAhCAAAQgAAEIQCCdAAaNdFa9+mxr7QotLqpFRpu411//52Rb1txOu3+uyVoeqfIvWrTI7br7XuYv8l7GPo8yZmg3lBzXtRFADcORRx9j4qhRPOecd4E5OV2nRQLlLhLKzifm7OQBCEAAAhCAAAQgAAEI9EYAg0ZvqO0RaTRD0w52W1uknvDDkxvL0nQtj1SC+iKvaRxN2XX5vHZB0dSWXNeHESBnS9yNNtnMaftXi+sjLZInd52V3FE0Fgb4hQAEIAABCEAAAhCAAATsBDBo2Jn19kQba1e0tUXqddff6DTCokknv+laHhbwf3vtNbfPAfMbranRJK1Vz6rTnzsywzPoywiQsyWuRnaoYUl1faVF8uQuEsrOJ6m5iT8IQAACEIAABCAAAQj0RwCDRn+szTE1XbtCCxu2tUWqdknRCIuqjnrdvaZreVgBamHPH5x0innHjrp05N5XfmjkyAsvvGhNylL++zICaLTL5lttbcr3VddcZ7IGx1JCl1zoKy2KXg2eFvtUXljzUWuo5O6EU5J0LkMAAhCAAAQgAAEIQAACDQhg0GgAr+tHm65d0eYWqSoo1p0vwg7jKmus3WiKRRPW2lJ13sabmjuwofxNz5df4X3u9J+cmbR7Skpa+zQC5Gzjatm5pc+0iG3u4rEygrDzSUrpxA8EIAABCEAAAhCAAAT6IYBBox/O2bFoW9DcznTbW6Q2kWWLL3zJqeM6lNMUFHVGZVjI5ZnznDrB2++8q3vs8SdaTXqfRgAZAKxrkmiHkNTRQX2mxWcCO594EhwhAAEIQAACEIAABCAwdwlg0Bh53t162+1uhZU/kNUJb3uL1CayHHHUt0ZB+vnnX3BaV0Qd7hwDReozMmR8YZvtnUaHqJK17fo2AuTk/aaf/bwT7zrXd1q8POx84klwhAAEIAABCEAAAhCAwNwkgEFj5Pn24osvOe1UktqR9v662CI1VxZt56kFTsfkFi5c6I4/8SS3/oYbm9l6xkXH975/Nbf//EPcQwsWdJrcvo0AaijmH/p1M6sUo1rfaQkzJnfnk6a71IQycA4BCEAAAhCAAAQgAAEI5BHAoJHHrden9tz3AHNHsqstUjW6oagjX3VtnQ02dFrgdIxOFeDhBY9MjBuf+tx/m0duaCSG0nfgIYe7G2+6ubdFI4cwAmhnljXW3cCU//Jft6PLEGkJy2Luzids5xpS5BwCEIAABCAAAQhAAAL9E8Cg0T9zYhwxAVWI555/3unL/bkXXOROPvU0p90t/N83v/WdyfVfX3HlxEjDrhcjzkxEgwAEIAABCEAAAhCAAASmmgAGjanOXhIHAQhAAAIQgAAEIAABCEAAAhCYTgIYNKYzX0kVBCAAAQhAAAIQgAAEIAABCEBgqglg0Jjq7CVxEIAABCAAAQhAAAIQgAAEIACB6SSAQWM685VUQQACEIAABCAAAQhAAAIQgAAEppoABo2pzl4SBwEIQAACEIAABCAAAQhAAAIQmE4CGDSmM19JFQQgAAEIQAACEIAABCAAAQhAYKoJYNCY6uwlcRCAAAQgAAEIQAACEIAABCAAgekkgEFjOvOVVEEAAhCAAAQgAAEIQAACEIAABKaaAAaNqc5eEgcBCEAAAhCAAAQgAAEIQAACEJhOAhg0pjNfSRUEIAABCEAAAhCAAAQgAAEIQGCqCWDQmOrsJXEQgAAEIAABCEAAAhCAAAQgAIHpJIBBYzrzlVRBAAIQgAAEIAABCEAAAhCAAASmmgAGjanOXhIHAQhAAAIQgAAEIAABCEAAAhCYTgIYNKYzX0kVBCAAAQhAAAIQgAAEIAABCEBgqglg0Jjq7CVxEIAABCAAAQhAAAIQgAAEIACB6SSAQWM685VUQQACEIAABCAAAQhAAAIQgAAEppoABo2pzl4SBwEIQAACEIAABCAAAQhAAAIQmE4CGDSmM19JFQQgAAEIQAACEIAABCAAAQhAYKoJYNCY6uwlcRCAAAQgAAEIQAACEIAABCAAgekkgEFjOvOVVEEAAhCAAAQgAAEIQAACEIAABKaaAAaNqc5eEgcBCEAAAhCAAAQgAAEIQAACEJhOAhg0pjNfSRUEIAABCEAAAhCAAAQgAAEIQGCqCWDQmOrsJXEQgAAEIAABCEAAAhCAAAQgAIHpJIBBYzrzlVRBAAIQgAAEIAABCEAAAhCAAASmmgAGjanOXhIHAQhAAAIQgAAEIAABCEAAAhCYTgIYNKYzX0kVBCAAAQhAAAIQgAAEIAABCEBgqglg0Jjq7CVxEIAABCAAAQhAAAIQgAAEIACB6SSAQWM685VUQQACEIAABCAAAQhAAAIQgAAEppoABo2pzl4SBwEIQAACEIAABCAAAQhAAAIQmE4CGDSmM19JFQQgAAEIQAACEIAABCAAAQhAYKoJYNCY6uwlcRCAAAQgAAEIQAACEIAABCAAgekkgEFjOvOVVEEAAhCAAAQgAAEIQAACEIAABKaaAAaNqc5eEgcBCEAAAhCAAAQgAAEIQAACEJhOAhg0pjNfSRUEIAABCEAAAhCAAAQgAAEIQGCqCWDQmOrsJXEQgAAEIAABCEAAAhCAAAQgAIHpJIBBYzrzlVRBAAIQgAAEIAABCEAAAhCAAASmmgAGjanOXhIHAQhAAAIQgAAEIAABCEAAAhCYTgIYNKYzX0kVBCAAAQhAAAIQgAAEIAABCEBgqglg0Jjq7CVxEIAABCAAAQhAAAIQgAAEIACB6SSAQWM685VUQQACEIAABCAAAQhAAAIQgAAEppoABo2pzl4SBwEIQAACEIAABCAAAQhAAAIQmE4CGDSmM19JFQQgAAEIQAACEIAABCAAAQhAYKoJYNCY6uwlcRCYHgJ/e+0198P/OdVt+MlPuaO//V2n33PdTWOa5nqeIH/9RJACAAAgAElEQVT/BN544w13zvkXuo0/9Vm3zwHz3QsvvNi/EAUx3nvf/W6bHb7sPrflF91td9xZ4INLEIAABCAAAQgMTQCDRg858Nrf/+6O+/6Jbu/958/83X7nXZUxP7zgEXfgIYfP+D/8G0e5l156ufKZabspRiEzMRTLMbmcvB2T/HNJlu+d8AP3b//n7TN/Rx1z7FwSv1DWaUxTYUK5aCLw4zN+Oqvtu/Syy03Pp3qO21jFO4Q7/6KL3X8u918zdXuX3fZwr7/+zyFEmYnz0ccedxts9IkZmdZa76PuoQULZu7PtZN//ON1d/Ell7ovbruDU1re+/7VJkf9PveCi6bCQDzX8gR5IQABCECgHQIYNNrhWBnKX//6V7fFF740oxipUybFosrdetvtboWVPzDzzNrrz3NP/fnpqkem7p4YhR1YMRTLMbmcvM2RX/Eo//3f2DjkpMn6zG577jOrPOj3WF1qfnWdJjXwzz3//Ey5efqZZ5w6NrhxE4jLhQxfqc6S53EbO1Sdig17Xbb1Gg3yzLPPztQJneta7OJ3sN7HujYX3X33/97N23jTWe1n+G7V+fobbuzqPrTMxbQjMwQgAAEITD8BDBo95HFOpzdWpjBovH1iFBpbRz4nb3OKXKzwWzo4OfGN8ZkrrrraLb/C+yZK+bvevYK76JJfjlHMiUyp+dV1muLyOZc7ZaPN7A4Ea2LQsOT5WAwa6nCvvs76k7r99v94lzv+xJM6oPpmkDIK633qO/Rl71ZNB9thl6/O+PvCNtuPzqCeAmnBI4+6j3zskzPp8OkuOq6x7gbuj396KCVY/EAAAhCAAARGQwCDRg9ZESuYUiQYoVEPPla2u/xqVy9NsY+cvC0Oqfpqage5OpS5f1fDwH/xy185HcfsLPnVZZri8olBY8yl5i3ZljWDhlL+/PMvTN6Lf3jgQSfFpCuXatBQ/BrNdO1110/+5urIJk3NC40XMgofcdS3JtNM9trvQPeOdy436/4BBx/WFXrChQAEIAABCHRCAINGJ1hnBxp3KjBozOZT9guDxltkLB3kt57ibCgCY8mvuO3BoDFUibDFuywaNGyE8n1bDBr5sYzjyVdffdVtufV2MwYLrVNyznkXzAgnBfDY406YuS/dRAugvvLKKzN+OIEABCAAAQiMnQAGjR5yKO5UtG3Q0PzfSy69zO34ld3camut6zRkd+XVP+Q223xLd9bZ5xYu9qXh+h9af97Mn1aWjxdh+8bR3565L7/qpIVOC2J+ba99Z/yss8GGEzlCP3Xnjz3+hNt//iFuzQ9/ZLIonObxaicLDfe1GDQWLlzofnDSKZM0r7jKBydfnTR8duev7u5+e/Mtjb74ie95F148CVtftxS+Vr7XCviWvA1lVP7oy5hk1KJsSmvRF8BTTjt9wldxhl/Z9Nvnn6YtxC4sE4pDcSlO7SKg4dz6Gprr9KzCUFgKU+VN5U7l7cyzznaLFi2qDFqNjtipzH34ox9zmj6i9HjZxKnIeRY+3fpd5tRpOfLoY9xHP77JZJqK8k3nuqZ7RU7Kv8qLD1+KvebXSx4tSKsFAv+//1pxklZ92VTZjZ2XMTW/vH8fZ1marMx9WrT4n/j6suPzSvH59IVpULm54cabJhz8s2K33ryPT/JL+ab8y3HWNCgOnw7P52Obftrddfc9k/ZB7YTai3cu/57JFIKDDz+yNG9DeZWfvvwqn8RH5VDl8fd/eCD0Ous8zivVO1/PxFJh6U/n+qpfxUn35Ed1X8+IcfhcjkHDs/L5lpLncRureOVu+d1tkzbOy6a6+ZMzzyp8l4SQPA+lS23Cv79r+clRv/WO0v0iJ5Y+j3U86LAjZnmL2eu32hktlv2+D6w1ycNfX3HlrGfiH6rLYuzbQ8/Ht8OKV/VfHOW8fy+XntU17+L7/lm1C2of1DbG+apn9W47+dTTnMqyyp78lbUnPi4dc9jGMsZpULhxGSibghPKwjkEIAABCEBgTASkVxX/OSe1VZprqL0W+30zjMWLF7u3/pa4xYuXuMVLlrg3/nX9bWNKeJ+yWDq9Xq7UNTQef+JJ95nPbzXTYfFKWniUQnbzrb/zQU+OmrO8yhprzzynrTD/8txzM36KZNaXHq/syaMWGFRHx8el8BRuilNB0srqUvj88+Fxp12/NjHGhNfKppxoB4CVVluzMBz/vOZC52wFqGekjPtwwqO+disNkiu8LgUxdikyatG2mF/8pT+Mx5/H8aWUCXFXB0X5kOrkV4YwpdvHXXRUeStbXO7llxdOOg3qWBc9q2vKy6JdHWIWsYFN6ZCM6iyUlSuFr3vyE6c9LvNS7G/47U1uo002K5RVHanYmBTLWJTGML9i/3GacpnHaSmSI+64qKyHawYUPaN8O+Tr3yg0vpWVo9w0KLw4HSp7V159zayvzqGcuq+Oc5mrq4fq3B525DcL0xfnlYyc+x540MSgF8qgc3HSUP8iI6U6tDKeFNUBdXD/50c/djkGjZhVLJN+x3ked2YVr9IVGsHCcLbebgenOlzkUtodvavkL3ZFcoR+YvYyTGpNi1C2sF6Fz/rzeGRG+Kw/D98xsf+YXXxfz6psql3w4fmjeKq9FbtwxIS/r6Oeu+mWW724s45N2M4KqODHSaf8aJa88Xu+4BEuQQACEIAABEZFQLpm8R8GjdYyqkjRrFO+UgwalsW+YmVJQ0r1tcYrVOoIhCu4P/TwwzOLtHk/WrRN17277vob3XLvWWkmjFAZ9H7Kjho1UdUxlrIfGwqKwq9Svr3c/ihFrUwZL5JTnZHd995vJn0+nPCokSWhUUf34ryVklqk5Ibh+HN1nsOvgLEi7/2FxzC+KoU5fEbnUrIvv/KqoqQXXqvLszB8GWfijktT2WIW+h06NWQaSVHUUQxl07n8xKMh4nqqvN1up10q8z9OZyxjHK9+h/kV+4/TlMs8TkuRHGEHLaWs+zDEzrJoY24alLdxOrTV5Oe/uE1lnqiu3XbHnWHRmJxb2or5h359KYNXnFd77ntAacdfrFS/4oVrVUbjIf6eqz+uuuY6S+1IEZeLpRJXwMqHFx7DPFcYKovh/U9s9rnJCIbwWnwuY4LSETrLuyhu44rk8CNFfBwx+00/+/lZ27xKxrBe+efCY2yAiNOl3+E7JvYfs4vvaxSL5CoKV9f0/Ff32Lv0fhy/l70pWx9O0VEG2/jdNA3bYRellWsQgAAEIDC9BIqNGTJyYNBoLddjpVyKi74u7b3//NK///vlr8xS2GJlStND9HUwVJ5kIPjR6WdMOpK//NWvl1KKNSUg7NBr8a/w+Z/9/JyZNEsRjzuG+h1+OT/1x/8763ktNJbi9IUyHvUg5X//gw6djHg48eRTljKmFCl76jDHW9FJIf/NdTc4KYHqdMVf6i3K2q9+fcWsPJAMUsZ/fMZP3dnnnu922W2PpRjJT6hYK5/kz3MWw/0OPNg9+dSf3d//3/9zl11+5WSotb+vY5gPGrGhUSC77r7XTBjyo9+6rr8nnnxqBvvPzzlvlkzi8bvb75jEpdXr4w66pinFU41mAotO1IEL5ZQMfuqKhlnHYcedMBkQwjKlr+Eaan33Pfc6sY47A3F5jTs1cfj33HufU2fQy6gydfS3vzspCyorqhuhEU1Dz8MV/YvqqcJS3fvO946f/Onch++PTfKrLk25zJWnV1/7m8kUIE218bLKAKk4VW5Ul1UX5e6462630qprzPhTJ0f3Ncxdf5q6FrLT9LKw3EVFZdbP3DQokLI80VQT5afSoTKksuTTqKPqXFiuZSQMR9qoHKr9feDBP06mqZx/0cWz6uG7V3z/pB0JExLnleJR+6Jw1BbK0BKWb92P65fKetyBlKFYbZ7SojZQ5TZMi87jsh7K5c+tea7nYoOG4hJLjZBTO6cOeNyGxnkvJUIGoFBm3w6r06+ytc32O826HxtFYjnqDBo+LpWDPfbZ3315190n5d2zKDqqrKtMq9yEeaBzX5ZUZ3y5iQ0W8Ts4vh+z0zs+Lg/yU9WeyGAXjqZsg20RCxkwZfyNy5ryLTSoFz3LNQhAAAIQgMDYCGDQ6CFHypRyr5SlHGNlKp4yIsVEXyBDp86aOm0+fClX4RfD2Gihjod3Mk7458KjN1qo4ISjF7TYWDz83ocVH+PRJ5JLay+E7uEFjyw18iH8eia/sUFFW9PJkBE6hRsqlbEyHvoNz+P0iYE63L4DL7/yU/S1NTRoSInWkF51eqSkq6MQGpUUjjrLIeOiVebjzlRZB0fzyGUwUXzqYMVDmKUsS2n28cVTjUIG4XlRGQ7TKb9ir46N4pYM4Zx2TWdSXD5e5YkUajH0TmxDo4Y60OGooToGoYGuKHzFowXxVFa9HMob74rSGI/qUd5tvtXWM88rnLDe+LDqZE3xVySPhbniiMOImXo54g5lXNfk7/SfnDnJW+XvMccelzSFK45fvCxpKHo+rucqQ/HInHj6W9xWKA3xdJB4JImMC2H5jPNUHeGwfhW1Bxq9pal53sVhxEY1+YvLqJjpuVQXMyvLc4UX53vReyQe2RKHF7+L4vxRPHG9kSE65BLLUWfQkJxnnPmzWfmTyic2RMTvVh9Onb/4vvJJ7wNfZopGPak86N3mXfyOjutHG2x9XP4ouVT+FVf4p7buz08Xry/kn+UIAQhAAAIQGCMBvXuL/xih0Vp+xQpmqESknsdKl74Kh88WdUCUgLCTJ/9h5yueVqIpKJqKonUypNz48MNpJfrSpsVAX3zxJbfJZ7aY8ZNqKJBMsewKR+HFLt5uLkyjvqLp66eXUccipb+oIx2OMonj9L/j9Cn88Eu89/fQggVOi/CFcsQdNu+36CiDhxZWDZ+PlXk9F3eEitJaFH54TRVdX9rDDn1crkL/4bmejUeJ+NEfcccwfM6fx9OTysqLFnr0i/DpGBrJqhjE+aU8iae8SJa4ExJ+QS+qp/pyH7sTfnhya/lVlaamzCV3nKa4M+rTFhu61GFU5+y555/3XrKOTdMQy696EhqhvFAaLaIy5euRDFq+nsdtRfwV3IcRxxW3S3FeqT4ofaGLR7qE9SuWQ7J6A3EYhjr/Gp3k06Kjpb7H6SjLc8UZGxL8OyCUJ65bkids4+L2XAbaIhfy0ztFbYJ3sRxxGxg+q/g1ws+PLvJhpB7jNiDMozCMOn/x/diIprDidMVlpqhMtM02TJPO1aaF7wCNwJGxsmzB1vh5fkMAAhCAAATGRkD6WPEfBo3W8ipWMKWQaWXzsOMWn/vdSuRXf7HSFY+gKPqqrwRIefFh6ChDhV/YU4aJcCiwV8hCQ4eUYXXgvFHDr6MRfzkKO4Z14GLlNFZe/fPqkISjK0KDRqxkl40QKepQKT11LlZWyzoFsfFHjEOFNIxHXyQ1YkSjF9RhiVfb9/lUxCNmpt9VTnkrY4AWONRUEJWveOi44ovLVVWY8XQWL6+GqGvotxY6VNqLdjmJOz3eMFYVX3yvikFYZiWXOuQyasT1KmYelqm4npbledxJaZJfVWlS+psw1/OpaSrqRPv81U4Xajc0CuIPDzy4VCc+zqf4d5M0xPKXGSPitkyy+3oetxUqryoHcdmIdweJ60ZdXindcbsRhhGnRTKWtRXxNJ26+h4yj+MpK8d6JqUsx+HFcsfvorJ3m8qRL1NxGHVyxOzLjCYhh7LzqjwKn6nzV3c/la/ajzIubbAN06TzsGzp/RqPjoz98xsCEIAABCAwdgLFxgzW0Gg13+oUwqLI4mkZoWIs/7ESVKbwxopi2IFTOKGi6L9qqiPsv+DoK6XmmfvpAt5wEBtKNKQ71YUKlRS5og6hwooZhLLHymSV0p7KKpQ//tJqCT/upGikgKYphMaZUIGNz4t4hPkk/2X5rdESX//m0UvNjY7j8L/jchUyiM8Vtna4qEuHDCfq/IYjN2L5i9IYxxf/jsMIGcRlxaev7himP66nZXke16mitFTJGqarzl8T5oonNU3yq51p1MmvY6ZpQTJspLomabDIX1bP47aiLn3+fpz/dXklHnFcYfmKd4VSPHFb4ZmmxOX9xkcLs5SyHIcXyx1z9/zqjkqjd3VyNOHh4/DHqjzyfnSs81d3X2HUpUt+Yn5hmYjv1TH190O2YZrivEydchiGwTkEIAABCEBgbAQwaPSQI7ESIaUjVFqKRIg7aKFiLP+xUaDsi1WsUIVGAYUTTwXQF6FwTQeN/FAhCdfL0P1wKkus+BelJ7wWK6dS2opcaFgRs1D2uHNQ9uVW4cZKYZmyF8oQK6tlaSz6MhzmbbwuhFc49RVTozS++a3vLDWfuYhHzKwoDconLbbn4/BHGRi0MKRGUHz3+O/PWkMjLlchg6JzxXHvffdPyoPS4OOIjzJ6hDthxNM0LCN6vBxVDGIDlBYHVZnVXPGqv8O/cZR76aWXJ1HE9bQsz+M6lZtfirQqTT7ducz1fGqafFwaXaO1CT626acrjWLx7i7++bJjbhpS5Vf48ZQoX0fitkILfspvVbnQvQMPOXzWegcpeRW3G2H9itOiOhO2FSG7sH2VP5+W0E/ZeRxPWTnW8yllOQ4vljt+F9UteO25+ylBKXKksC/jEV+vyqPQb52/uvsp6ZKf+P0Ulok22IZpivMyfKeG/jiHAAQgAAEIzCUC0gOL/5hy0lo+xkpErBAWRVRn0EjtIMaKYDyHN15jQgtJ+m0R1Sn1i4iGUwY02uDTW2w105mN55oXpSe8FsteplTFC/mF/oqmehStcVHEvmhdhFA+ncedoJBF6DfmF+dtPNxerB7845/CIJbq1OZ2kOP1PNSRueDiX8yaG11XrmYJlvBDBh3t3KBFIldabc2ZMiEO4de/ePpQWZnRVCbt9uD/wp004rIcdvLi/Ao7kgnJmHiJy0pZRzClE1glayhPqr/wmVTmeiY1TWH4/lwvBu14oPQW7dhgGZXlw/TH1DTE8qtcFdXfeFpJ6C9uK8ry1ctWdkzJq6pObiyHZAzLsI+3yEha5M/7j48xs6r0ppTlODzJHXa64/bcIquXvU6OFPY+rLpjVR6Fz9b5q7uvsOrSJT9VBo022IZpUp3WujiSXX861zUcBCAAAQhAYC4TKDZmMOWk1TytUwiLIqvreMYjK7TivjqWoSsaHRB3QlQAwtEX6rj/+7uWn3RM/XoZCjNeM0NKrf/T8xalKB55UbRFYrwqvuIKDRqSKZ5fXLRQnLZwVfheVr9OSMip6LyoU6EdSsJpFHquaEeCUNmPFfGizlicjlyDRlxmYuOV5I3LTWrHX+m+5Xe3zRgarrz6mqVYxAtLhmHHa1xo6pK2ag2d4tB2xT6v/PQm7ydmGXac4vwqCl/haATCJZdeNkmHtmgMFfq4npZ1BFM6KVWy+vToWOWvKXOFn5omGYSULm9IincLUv0uGwERpic+b5qGWH6VjW133HmpBSFVr5TnvuzEeRePeChaWFSyqlyLgXboUYcvXCixKq98uus6ubEc8c5JCifebUVpCsu6j6vsGDOLWYTPpZTlODzJE7ZxcXte1A4rzrvuvmfC9sJfXDKZxqg6612dHCnsfVh1x7o88s/X+au7r3Dq0iU/VQaNNtj69PijyrTe5/oLy7e/zxECEIAABCAw1whg0Oghx+oUwiIR4s5p2DmU/6IwNXLiscefmASnFeAPOuyIWesdaNE7fcWPXTwSwncKwoUbi76Aen9FIyPiOMLfMrR8/FOfmel8KBxtZ6cOsxQs3Y87T/ITGzRiRjLGaAqHX/1e2+NpJICXU8dddtvDaWX5FPfjM346i5/C15QOGVskp0YdyJAUhq/zUNmPFXE9Hxp/tO1jHEaKQUO7EWhtDuWLV0pjHnFnSXKHu9dI1rhclXGJd5Eo2t4xNu6EIzTEPB4+rfUarrrm2gkP5ZnyTow9z3hrx5hl3MmLR8OoTN15190zSSqKI9yaM65TZR3BlE5KLGtRfkmw2F+YpqbMFX6cJrE9+tvfnexmpPLgXSyHykl4X+fxdrWxcdSHFR6bpqFIfpURLayrdkJlX4YxTTHy5UZHTecK5b/htzfNMmyqzl12+ZUzdVHhqL6rXPtw4o55zCjMK5/muk6ujGhhHIpLbZ0MSmoXtI6Jyq2XwR+L4vJxxsciZkV5rudSynJReGEbJ87hrixxO6x4VA/DdMUG+Do5UtjHHMp+x3kkQ9hPf/bzSZ1QWr2L/cVtZd19hVOXLvmpMmi0wdanR0cZ7TTlx5erL/3fHSdtROiHcwhAAAIQgMBcI4BBo4ccq1MIi0SIO6exMqVn4tEHUlKkTGptA63k75UWfz1c0yCMM47LPxevyxF/XZS/1BEPYXw6P+W002d1Xn2c4TFeFT82aKjwFq0ZoQ5DbCRQuLp22x13xqKU/tZw+4022WwWx1A+nUsZjncPCZV9dbbCL8fKF6VDSuU2O3x5qXxSmEUGjbiz7uUIR9GoUyQjgL+no3Yf2WOf/SdhxlNCdL+oXBUBEev5h359Vtgqa1qbQ/LqqN9h3HEn7J5771uq4xn6D88VVlxe6zo1qmeaGhGHox2DZDyJ8ykuD3E9bWLQSMkvca5KUxvMZUiSES9k4s/DdUyK8ka8tEOO/mJ2G2z0CffoY48XFZVZ15qmIc4T1aW4XfDp8UfVfz9VzgsjDvseeNBSHPyOHHGYRWFU5ZWPp66TK6OaRph4WYuORW1KXJd8fEXH1DzXsykd7jgPJHPYxikc8Y4NNSozqnfxjl16XnkhOb2rkyOFvQ+r7hgbCcI80Gg57+rysu6+wqlLl/xUGTR0vylbnx4d4xF6KmsaBYKDAAQgAAEIzGUC0jeL/1hDo7V8TVEI48hiI0NRx1MZp+HRcWcjVNB0rs6hdqfQ15kiVzT6okjRkWIVd1pjI0NR+EXX4i9Fscwf+dgn3Q9OOmWW4l8UlzoIWuwylisOT51TTTWwuqIRFD5sxSmDSvzlOlT2lfdxJ9s/r6M6AV/dY+9Z6SwyaEgJj0dX6Pk4n2QEqGKhUTcygngZispVGSPJsPV2O8w868MoOuqrc9H2rRqREX9Nj5+X/OrwxOU1pVOjUSvxqJw4fP1WnYmn/8T1tIlBIzW/6tLUBvOyMhyOoFGei0ddWyJ2MgRZOkFN0lCUJxoZUmSwlGwqO2VtneTQtLGi8hBek9FR9Ujta+jq8kp+Uzq5ms6j9i2MMzyXsXPnr+4+677itrjUPE/pcMd5IFnDNk5yiZWm8cRGjTBd/lxtiPIidHVypLAPw6s7P+/CiwtlDUcl1uVl3X3JUJcu+akzaDRlG7KI9Yr4/RH65RwCEIAABCAwVwjoXVn8h0GjtTxMUQjjyGLFo6rjqV0npCQWjcrQtINrr7t+KeU8ji8efbHOBhu6cEFG+Y/XQZCCGn7RisOs+61h3j86/YzJFzyv7Orot4WMlcEig4biUDjnnH/hZDRCGI7OpWBrhIKfilMnU9F9TV3RV9WQrzp+2ppUw94lVxhvrOwvXLhwsitMrOxr9IQ6+DIUhc8XGTQk15+ffnrSIQvl0HNaOM47sTjr7HOXYurlVR6qLPn4qsqVDzM8yoD0w/851a354Y/MhOHDUmdSIzWUF5KjzCkvlCcxD4UjJmXPp3ZqvIz6Muxl80fFqZEJv//DA0uJF9fTJgYNBZ6SXylp8ulpwvya31y31OidlVZdw2l3mNCpLVGnrihvVIb22u/ArLqUm4ayPNF6LfFoJOW3yn5V2atqK1SvZJzUGhZ6KcYuJa9SOrkK94UXXpwYYkPOil/tsAyBcSdXcVtdSp7HbWxR2xPngepS3MZ52creRXpG5ff0n5w5MyXQP6NjnRwp7MPw6s6Vv5oiF7cRmhajkW5ydXlZd19h1KVLfuK8bpvtJDH/+icjsYzFaqvLDMehf84hAAEIQAACc4FAsTGDRUHnQt4tJaOUFSljUrT0J0V0LjgVQr/yut9CM1dupdmnXyzir/y54eo5LWKnsHPD9c8rjHAxSqtMYT6HC+uF4ajjpikzTeQNwys6V1551jpay1soo55vmvd1MubmW1G4lmsp+ZUaXlPmvn6obFR1/EOZlTd1/lPllz9LGiRvaDAMjUxhu5FTnzwLX4bL6pIlbVa/Ieeu4vfpbDMP69IZpqurul0nQ+p9Xx5zylBqHG36a8rW15u5kt422REWBCAAAQhMJwEMGtOZr6QKAhCAwJwnUGXQmPOJIwEQgAAEIAABCEAAAo0JYNBojJAAIAABCECgCwIYNLqgSpgQgAAEIAABCEBgeghg0JievCQlEIAABKaKAAaNqcpOEgMBCEAAAhCAAARaJ4BBo3WkBAgBCEAAAm0QwKDRBkXCgAAEIAABCEAAAtNLAIPG9OYtKYMABCAwpwlooUztJqStTPV34CGHO+06hIMABCAAAQhAAAIQgIAIYNCgHEAAAhCAAAQgAAEIQAACEIAABCAw5whg0JhzWYbAEIAABCAAAQhAAAIQgAAEIAABCGDQoAxAAAIQgAAEIAABCEAAAhCAAAQgMOcIYNCYc1mGwBCAAAQgAAEIQAACEIAABCAAAQhg0KAMQAACEIAABCAAAQhAAAIQgAAEIDDnCGDQmHNZhsAQgAAEIAABCEAAAhCAAAQgAAEIYNCgDEAAAhCAAAQgAAEIQAACEIAABCAw5whg0JhzWYbAEIAABCAAAQhAAAIQgAAEIACB/5+9Mw22pqjS9f3d//qPceNGdxjeMOxurwa2UysqKigoKKKo2KIIKAqKigrKICgKzvPcOCKg4iwiowzaTu0AjoAIjqAtCiq2ii1YN56y3+P68svMyr2rztl7n/NmxI6qXUPmynetXGvlyqGMgAMalgEjYASMgBEwAkbACBgBI2AEjIARMAJGYOUQcEBj5Vhmgo2AETACRsAIGAEjYASMgBEwAkbACBgBBzQsA0bACBgBI2AEjIARMAJGwAgYASNgBIzAyiHggMbKscwEGwEjYASMgBEwAkbACBgBI6Nz40YAACAASURBVGAEjIARMAIOaFgGjIARMAJGwAgYASNgBIyAETACRsAIGIGVQ8ABjZVjmQk2AkbACBgBI2AEjIARMAJGwAgYASNgBBzQsAwYASNgBIyAETACRsAIGAEjYASMgBEwAiuHgAMaK8cyE2wEjIARMAJGwAgYASNgBIyAETACRsAIOKBhGTACRsAIGAEjYASMgBEwAkbACBgBI2AEVg4BBzRWjmUm2AgYASNgBIyAETACRsAIGAEjYASMgBFwQMMyYASMgBEwAkbACBgBI2AEjIARMAJGwAisHAIOaKwcy0ywETACRsAIGAEjYASMgBEwAkbACBgBI+CAhmXACBgBI2AEjIARMAJGwAgYASNgBIyAEVg5BBzQWDmWmWAjYASMgBEwAkbACBgBI2AEjIARMAJGwAENy4ARMAJGwAgYASNgBIyAETACRsAIGAEjsHIIOKCxciwzwUbACBgBI2AEjIARMAJGwAgYASNgBIyAAxqWASNgBIyAETACRsAIGAEjYASMgBEwAkZg5RBwQGPlWGaCjYARMAJGwAgYASNgBIyAETACRsAIGAEHNCwDRsAIGAEjYASMgBEwAkbACBgBI2AEjMDKIeCAxsqxzAQbASNgBIyAETACRsAIGAEjYASMgBEwAg5oWAaMgBEwAkbACBgBI2AEjIARMAJGwAgYgZVDwAGNlWOZCTYCRsAIGAEjYASMgBEwAkbACBgBI2AEHNCwDBgBI2AEjIARMAJGwAgYASNgBIyAETACK4eAAxorxzITbASMgBEwAkbACBgBI2AEjIARMAJGwAg4oGEZMAJGwAgYASNgBIyAETACRsAIGAEjYARWDgEHNFaOZSbYCBgBI2AEjIARMAJGwAgYASNgBIyAEXBAwzJgBIyAETACRsAIGAEjYASMgBEwAkbACKwcAg5orBzLTLARMAJGwAgYASNgBIyAETACRsAIGAEj4ICGZcAIGAEjYASMgBEwAkbACBgBI2AEjIARWDkEHNBYOZaZYCNgBIyAETACRsAIGAEjYASMgBEwAkbAAQ3LgBEwAkbACBgBI2AEjIARMAJGwAgYASOwcgg4oLFyLDPBRsAIGAEjYASMgBEwAkbACBgBI2AEjIADGpYBI2AEjIARMAJGwAgYASNgBIyAETACRmDlEHBAY+VYZoKNgBEwAkbACBgBI2AEjIARMAJGwAgYAQc0LANGwAgYASNgBIyAETACRsAIGAEjYASMwMoh4IDGyrHMBBsBI2AEjIARMAJGwAgYASNgBIyAETACDmhYBoyAETACRsAIGAEjYASMgBEwAkbACBiBlUPAAY2VY5kJNgJGwAgYASNgBIyAETACRsAIGAEjYAQc0LAMGAEjYASMgBEwAkbACBgBI2AEjIARMAIrh4ADGivHMhNsBIyAETACRsAIGAEjYASMgBEwAkbACDigYRkwAkbACBgBI2AEjIARMAJGwAgYASNgBFYOAQc0Vo5lJtgIGAEjYASMgBEwAkbACBgBI2AEjIARcEDDMmAEjIARMAJGwAgYASNgBIyAETACRsAIrBwCDmisHMtMsBEwAkbACBgBI2AEjIARMAJGwAgYASPggIZlwAgYASNgBIyAETACRsAIGAEjYASMgBFYOQQc0Fg5lplgI2AEjIARMAJGwAgYASNgBIyAETACRsABDcuAETACRsAIGAEjYASMgBEwAkbACBgBI7ByCDigsXIsM8FGwAgYASNgBIyAETACRsAIGAEjYASMgAMalgEjYASMgBEwAkbACBgBI2AEjIARMAJGYOUQcEBj5Vhmgo2AETACRsAIGAEjYASMgBEwAkbACBgBBzQsA0ZgTgSuu+4X3btOPqU7/Mhjute98c3dFd+9cs6cluO1m2++ufvpz37W/eY3v1kOgkyFEdikCNDGaGu0uWVIy0bPMmBiGjYeAcvhbJijPz73hS92LzzhJd1Rx76w+8QnP9X91+9+N1smftoIGIEsAtZHWViW9qIDGhvEmu9ddXV39HHH951fOsDp73lHH9ud+r4PdNf+9KcbRJGLmRcBGs1bT3pHd5t/uEP3N397q7Uf11Y1/fGP/9099+jn93W5x047d9/81rdXtSpFuhV84ui0fAicedY5vV5cb/4sWg6+/NWvdXe6+726W/3dbbpjjz+hQ58sMi0bPYvEwmUvDgHL4WzY//BHP+723HufNf8DX2TXPR62qXzI66+/oTv+xJf2duErX7tkNoCW5Gn5/vj/nDutBgLWR6vBp0ilAxoRjXU8/9KXv9Ld4c5338b4xM6wznFyH7HPvt03vvmtdaTmL1ljLH5yzbUdR6d2BD77uc93/3DHf+55ufNue3TPOuLI7oijjum+c9nl7Zks2ZNEovd53BP6OiGDdC43W3rGs4/o68fRafkQeO0b3jSKP8gw+uzn111XDRIsWg4+fsaZfT3R+Y/d78Dut7/97box46ab/th3cAiUc55LG0lPrnxfMwIgsN5yqBmI6Ijf/f73Kw06AxBPfcazej3CwMqBT3lq3+l/41v+rar7cpVeZj8QXt1n5137eiIfy5Ra5Um+P/4/54tIrbQugrZlLXO99dGy1nuV6XJAY4O4J6WGE8v0wA9+5GNrP0YM6RA/cPc9+1E7nsFInXzqaTMbp1mqs2jHfhZal+nZV7329b2BfcjDH9V3npaJtjG0nH3ued0eez2ye/4LX9zdeOONY7Jaynct70vJljWixgY09D6BOYIbpbRoObjhhl91zMhjdPWCiy4ukTnJddmdmjO9kfRMUilnsikRWG85XObO8awMZXbGve7/wN4PwU8ckxatD2u0LzPPWmlr0cE1DKa410rrFGVtljzWWx9tFpyWqR4OaGwQN6TUCFbUIs3MzHjYIx+zFnn/0Ec/vm4ULrMhW7dKT5CxcZsAxAVkYb4tAPQZilRAAj7Nk/T+sgc05qnbvO/I7tQCGvPm7feMwCohsJk6dVO262W2i8vMs1bapuTVvO2tldZ58/d7RmAZEHBAY4O4IKU2FNCAHCKDTEXm2V0e9JDu+z/44bpQucyGbF0qPFGmxm0iIDc4G/NtgwGfsTgFJODTPEnvO6DxV/RkdxzQ+CsmPtuaCGymTt2U7XqZ7eIy86yVtil5NW/LbaV13vz9nhFYBgQc0NggLkiptQQ0IIkvZtzzvrv0QY3aZpO/+tWvuje99aTu4Y9+bHfne9y7u90d7tQvXTnhZa/o15On1WO99iFPP6y798679s9CD+/wnx/3cmu6Zy0nLbf0/6R3vnubcn/wwx91z3ne0X1dWHZDQOclL39VR/mlFPNgqvkZZ57VsRzkf9/6tv36S5R5mr79ncu6ww5/Xo/x39/2H7u73eu+fd3ZMZxGkSa+SPCoxz6+iBv3eCZN7Dj+3lPf1y/luONd/qXjx7IOpom2LOuATpYjsY6U+sDjxx9wUHfhxZ/J0qnyKfd9H/hgLxeU2YJlxDEnA8p7Vux4L+J37vmf7ndif8u/vb3nL7RRL2SvZe+YeWVxyHFjnSmyA77QI/k58pjjOuRyTJon75Qf87SNSHPk261vd/te9mkDYJ6Ted695NKvdw9+2CP6H+dgz5I55JF2s+P9HtC14sMeDiy1Q1ehc/jRbiTLCkjMGtBgiRS6CzlHnyFPTMfmWq5dRjmg3pQPz9VOqO/b3v7Opq8FgAdfOGK5IPVBbiiTWXilPSvSthB5lN77z5//vDvy+S9YqxsYtSTaGPVHr7EnDj/OucaP+0ppmbrOMb0n/sN3+M8eQtgn1RU5P/3DH+11HHiA6f4HHdzUrsfqykh36Ty2gRa9n8MAOufVXSW6dH1e3ab3c0eWtMLzf93vgKyN0jt8tWvfJzyxf/bNbztJl9eO89Km9skROcH27bTLbr1MxuBjKmtrBScns7Y56TD8KXQ6OoJ2qraAnlWaCivlVzuie/A3aB+0TeQRvYq9R05zSTah1K5jXXLv69qi/EDqNYs/09IR/+J/fLnb7aF79TL1+je/NfvlqFnLFU654yzyxPvy/RVURn7xadGd8ulafR/w4F18SHQrP86pN/mmaVZa0/fT/5I/6J3H1271O2K5V151Ve9jYHP+z21u1/sc+CDUVzoDm01dY1Ldc/f0XGwHadtR3qm95N30Xoud3gj7pnpt1SM6Nf/rOrp19Oxi7y7/7F/yuOWWW7q//v7c3XLLn7tb/vzn7ub/uf6/tirI1FtKrTWgAdA4sjwfjX7E8PwLLuzuuuNO/TM8l/5wKD/8sW2XrKCEyC99Vv9zZc1TTqSzdq5ODOWe9+kL+t3/RUs8Uk/oyCXl8eh99+sI5OC8610chBjQwKF6xatft+bY6DkdeZdOXhpsiIZVz8ZjWg508qUQdh2Pz8VzDFpp5274j5GSAxbf4xw6X/qKV691JCIuV139/e5Bez68WO79d909+xUT4ZiTAfKfFzvejfidctr712YgpfWiM1pbZjVGFmNHNuLFObOi9jvwoCJmfJUidgLT92v/58078mPetgFdQ3xDxnAQeC5N0ls4YwQjHvDgh2YxAp/Pf/FL6etr/1nzvfdj9s2+S/nI+mte/8b+/qwBDfE1lSX+59qlnn/6sw6vtjFmycG7UhqSRepLvdMU20K6/DDeI1Cd4o1MtCTyzeGha7HcWGa8Tjnx3jvefXIfKFYe8chXu37xi192hx72nGy5Q+16jK5swWOoDZT0forBGN01ROeQPOXs+VCe3L/069/o7Sod5k+dfW7xFfQbz9CWeSemMbSpvdEJQk6i3ERbE2UtlUPRMkRHrs1Jh8Vy43lsU1NgJVprR/wL/Izoq0Sa0In4KalOlk2Iz8bzWJda+RvtB87rzwzJBDZHX4ziK20pXvOWW8NuFnkiHz0vG1ryzWo6knowMIYOiPyO5/jIBHdiUtnxuXjeKi/KU/I3ha9d8zsojzozsFCqMziyQT82XsEi0clRdc/d03OxHaRY1GQv3mux0+tt31SfrX5EZvI/BzQmlQ01LpRJyVinBcrB4DOaV37ve9vc1ieFyI8IIoELdqtGoX/1kku7/Z/0lF7xMSrBbA8lmM1XAGiQTzn0mf0zHPnPL/1CwLzlqLyhoxQkSul+D3xwH7WmLqKHczr+1BPDBT1pUh7/tMNdutvefod+DxIwpjNBlJbIKIm6M5qKE4EyxQBedvkVfVkcCYZgVCgLxysax7hLdA43IrY8o0RQQZ0R6C/ViWd4Nk0fO+OTPS3QSWDrxz+5pqefDtarX/eG/h7OJ/nGhIJ+3P5P6utAuTiw7OgObQRPmLlC/aIjqfeFY+7eGOzIH37CY8refa+9ux3utmPHaBg84h71QI65j2H++je+KbLWjmNlUY41x5jiJ2uhi88ngyN1pu2wgzx0zbP8a0ze4seYtjHEN9oAMkaboG3wfEzSW7Qr5CnKMryjk4vDAD44GLSDNCGzWkLHswQukHn4Ll1F20buyCflT5pf+l+79NN+eZ+vRME38k/bJe9KDhglRtZSPUDbV0eDPFNMyEOONOWx59FFF3+2Lw9MkGvkiHu5oEhsC6ktiPfucs/79M7ci1/68r6DCWapHUix0H/aPHmddc553f/757v1P865xi9+5SGWWaOHQKhsDe+gM5/2zGf3WKGLcHLRwfA3165L8jFWV6rOpeNQG6jpffKM+Myru0q06fpY3aZ8ckd4LX8AW5KTZ65pAIXZSrKZ5DeWNrU32j56BH2KbwOu2Gd0JCninMoh9+dtc9hxvvKDrmGUl3ZJ55Dy+KHrlcZipXxqR+hRYIfO2ste+Zo1fUhARYGOnE6GVmgutetYlxoN8Hsj/cB5/ZmaTEgewCkXzKD+85Zbw24WeSKfaEN3e8he29hQ6hd9n9RfFx2qB7KLD4e9gdfIK+fy67BFzLRSmpVWvVc6yicZ62sP+R2Uz8CW/HFml0UbK78Dm4PvkAtaCPfcPdUPDOV3ULeYarIX7w3Z6fW2b5HmrX6OXsv/HNCYVDbUuFBIOWOdK4yoHo0l1yCZ8oqjWuoQY8A1O+Dt73pPLvs1x77WgZiinGzh/3NRChJcSnWJCoFPlckBUr4xjzQQoWc4igc5R0HPSYmiSM8573xd3uYoB62EG/Q9+7lH9Y4TipiRyzTh8DNVkHof84IXbeNk0iA10plzQLlPUEPO0J/+9Ke17L/wpf/o5QIln46y8RDfQadjjmOeLu8QjrmAxljsogGANpyRNBHEoIMJJm94y9vS2/007zEyX+IbvGCJQmkEkw45hhNnmBHCWdKYvMWPMW1DfEOeT//QR7aRM+qBLDEKQpvIBZL0fo0G2gn5k0fuc79M5eReie/RwaecUrsawl145eQ3vis5KOmBSA9TmZlOGlN0gmjnsfOn5+g8aVp4OpU1toXUFsR7JbxURstR/MvZEL0fy6zRQ0AD/RETdT/gyYf0bRY8CQamCUeUz1zTvtJZTmN1ZVpW7r8wKPGbd2p6P+JT4smQ7srRFa+tt519/+kf6tsgQbwf/fgnsej+PPoLp73/9G3uj6VtqL2psIhzKodj2xxl1PIXDRzHYBXzKZ3TgaUtoDNzsxHRyRp4yelk8pVM19p1qfz0uvhT07tjZGCMP1PiGTMR5CuUfL4x5aYY5f6XaEufFa9qNlTBGZ5J/fU/3HRTP4MSeckFyCkvzixKdSz3W2lNaU//y8ZCZwl33lGd5/U7GIjQTJZSORGzXDsQDbl7qlfUK9Qtphpm8V7JJpDXRti3SPNWP6fN538OaEwqG2pcKILUWJcKio0m9w6Od22vAxkqnO5c0v2aIeO9seXkytY1KUicTRyJUmKmAU4AAR4CPTEpDzqlrLcrpaOOfWHveKcjUPF5FJC+754LnvDsEG4KROHEMyWulFSntNMUlSyfiM0lZlzQcNOEnCBjYEFnOpeoYy4Jx1yHcCx2UZYZcc6l6ICUZHKMLJb4prZJsISAUC6VMMs9G6+NyVv8GNM2xLeSLEMrnVLaRM6ZEv3cSzs6quevf/3rft8InoHmmKIs54JzelYOGXmUeK9nS0fhlZPf+I7kgIAvHblcUmAw5wxp5tyQvmFvCerD6Pg8MyJYUjY2iX+5eijv2DZTOxPvldqtcC/pnF/+8vr+E7VgkeY/VleqDrWj2sC8er8FgxbdVaORe2N021De2EX4gy5htDdNskUlmR5Dm9obe+fUlnBFnFM5GdvmqG8t/4jHWKxiXul5ywwQ3gEn8KLN5PRAS7tOyy79F3+G9O68MhBtwKz+TI5nzDTVbM5SZ5e6jim3hFW8nqMt3te5eAUvS/vhtegPZCfaEeXPMdY1NxjUSmvMM3cedX2Lrz2v34GOQlcRLMgNzEEbmGlWWc6+CffcPdUt4pb6LjXM4r1c+1T+G2HfVJaPf5EJ5GL7nwMak8qHGlfOqSsVFBtNauBL7+g6xueJBz+tN4glQ9VqyJRn7thSTu49XZOCzC2r0TMcGSWl4w9+6TIL5VHryESnOo2Ax3I4lzItjWYN4UbHDzpr9FCORu9zHWk54YyKfu2SS1MSi/+lQDEGbB6VGz0uvVzCcQrsoiyn/Iv0iIaSzMZn0/MhWSzxLcoWM2Nym2ulZbX+H5O3sJi3bYhvpU5MrAOOJjJL/TEGStJbORnVMxyFLTTHJHlkqvnFn/n3eGubcwJGT37aM6r6apsXMn+E11C7E61pXWOWktecM0THHqyYGh6xiu9zrqBI2tFX3uSR6vXavTT/lv/iX64eer9WZu2e3h/CPTqNaX2n0JWiI3dUGwDrefV+xGC9dFeO9nhtSLfFZ3PnyKmc/7STwT1kGYzSe7m80mtDtKm9cayliHMqJ2PbHOXW8o90tWI11P5jnjpnyRj6PDdbSc/oWGtXLe1a+QwdW/lTy2dIBub1Z1KetQYzROu85er92jGlrfSseDVkQ8XvoXaSK4flQ1p2Qj5paqU1fS/9LxprNlY6d4zfIb7hE9QGk/Ap8C1y9k245+6pXtE2pbjVMKvdU94c19u+xbJ87oDGhsmAGlfOiS0RIeM31BlgDfmnL7yon6aIMmTHfXY/pix+JQU5qyGbt5xS/bjeoiB5Lo5spIqnJQ8FD4awpCymi+9w13tmlST3h3BT55A9QRhBKP3oUDGLIycTcd0yhgFjxTRUpjbjPJQSyp/1ieI9RvSZz3lu33HC6NVSCccpsGs1AKKhJLOifx5ZrPGNTSnBGdyYJnnQU5/eT5/X3iUqd57jvHkLi5rzAD2ltiG+4TwT3CzJIdcf+ohH93VPy5LeqjkF0CBsoTkmORxppz4+o3N1WoZ4r+fTYyteorVWjuQ1rTedHdotcgJmNUzBHOzTPJR3rt3X7qX1bfnfwr9ambV7Kn8I9+g0ph3VKXSl6Mgd1QbG6P0WDChbONTkKkdjem0e3ZbmkftfmoXBEhSC98gqz9TSPLS1tDfKLOE8RZur5Z+r7xRY5fJVkHMoSM27LN/DJrGHEtjE1NKu4/O181b+KI95ZGBefybKBHuNMMCD3mTW22//679EUvE4b7nFDMONSFuq18Jja8svUjsQn+G8RX/QFliOcfa55/UDVgcfeliPSdw4k3zS1Epr+l76XzSmfkJ8Tjp3Xr8jDm6UZvSoPPWRcti2tJFom1LcapjV7ok2jutt32JZPndAY8NkQI0r58SWiFBnILfMAsXGJya1Twb5xh+dsv/7j3fsr5UcrBZDNkU5pfpxvUVB6n3RmyqeljyEf07xKX8dpaxKz4qOIVwjP4bOcwYRY6yoe3wf3mLISp8SZVYGszOikdP77APB51zjBqaqdwnHKbATptCRq2tKQw7bsbJY4xt4sNGUNnMUXhyZ9kgwaZbZLqoPx3nzLvEj5q1z1S22DfEt1mXoPHVUlEepLdTK5x68psycU653dVR9c7zXM7Wj3k/rkL4jrGrlSF7TekcHaAhL3U/zUN7cT9tC7V5aj5b/LfyrlVm7p/KHcI+YpfUVL4RVyzHNQ3Tkji3113uq6yz80rschUNNruLz8Xysbot5lc7jyGlc3qkZiaUlWGNpE4+HcBH+abuI8tMiHzyT8hBMSvnn8NLMOgIKOazSZaK5PHLXZtGHkt2c7tS9XD1z5dautfBnrAxQ/jz+TORZ5D0+UG7/kVw95yk3l096LdJW00mtvKrpDwax+Nwx+zJFHHSOrw8m/CefNLXSmr6X/heNNRur+oq2lmPML7b3XF0iTapXrh2Ijtw95VErS3lDf8rf2j3lzVFtqwUDPZOWFfPzeR0B9FT+5yUndeRmvKvGlWscpaykPPbce58OZySmOOrLKDyjhuyuz0wN7eyvxlRyJIbuU94U5US603PVMSq09Bn+I6QaGU2VXEseQ7MuYpm1qC/PDeGmDUHZSJJPXbb8chu1qd5sxMd0aTaEijNvapsR8S4j96w9Pvq44/udtfmahZQmI8vpTI8SjlNg12oARENOZsfK4hDfwAxM2HCM2QJ8v1xOAriVNuTivZY0a97CYt62Ib4xOk1eLXKI/ohTPKW3ak4BdRe2lBNTbZQxPse5RjNyvE+fzf1vxUu01sqRvKb1Zs8i5AB5QB+1YEqHMW4MrLxztqB2L1fnoWst/KuVWbunsodwj05j6qxNqStFTzyqDaR8jM/ovKT3WzAgD+FQkyuVlR7H6rY0v9J/1nsjd5rKTVtnmQnX0Hm5NJa2lvZGuSWcp2hztfxzdeZaDavauvlSflyfRR9qQGsZAhpjZUCY4MfN4s9EmcAW4wdJZwz5PyqT46zlxndL55G2VK/Fd1p0MM+X9Ec665agxhFHHdMvZ2BjTGbeskwWP4F2TD5paqU1fS/9LxprPol07rx+R2zvubpEmjQbJKffW3CPtiktq4ZZ7V6kT7I6RV8g5uvzPAL5YAZBDgc08ojNeVWNK+fE5rLk00t8gonnWU8Wk0YPuEeDKY0cDzkSQ/enKifSnp5LQTKVsLRBH+9odIk6p2uhlUdNyZK3pivW1kFTlhyJ3MwY7g/hxqZM0JluBpjWfZ7/NFjWkaouQxutxTJuvPHG/tO0jDqlI088V8JxCuxaDYBoAOOYppDFIb7F8nROEIKZGwpszOvIKr94HMpbWMzbNsQ3pn7mdj6PtJTOpbdyDkN8R9hCc0x6f2j9MHKtgGXK+5hf7Vx41fQA74vWWjmS11y95aSkerlGW7ynvNERqSNcuxfzaD0X/rl6KI9ambV7en8I9+g0pvVdT10JfWoDYD2v3m/BgLKEQ02uhFk8TqHbYn61c8mDljxoA8zSBtZT0NbS3qC5hvPYNjeUfw4zNvQGl1ascnmk19TZG9KHvKf197nZIOJjrV2nZZf+D/FnChkolT3kz0SZYMCO5+MXMEpfxiuVp+tD5eq52jHSluq1+F4rr0r6Q/tQ4bPxdbvc7NqoY8knTa20pu+l/0VjzcZK547xOyST+ATwqpS0hCvXDlpwr+FWw6x2L9K63vYtluXzvwQukZftfw5oTCofalw5JzYtCGbos125htpiFOM6tJKDJaVRuj9VOWn94n8pyKH1u3IucmuhlUdNycZ9BmpfW4A2jcyUggVDuLXuyB5xmPVc04TlbLW+HxV4OiJXwnEK7FoNgGhIZXIKWRziWwlD2qM2zdPIZunZWa/X8hYW87aNyLd5AzHSWzk9FOsqbKE5pugMl3Z453mcIC2fS3kf86udC6+aHuB90VorR/KaqzcBVfR4ST/UaOSe8s7Zgtq9oXxz91v4Vyuzdk/lDeEedU7q+K+3roxtYF6934IBWAiHmlwJs3icQrfF/GrnDH7oi0Z0mPWJ0lKbmYK2lvYGzTWcx7a5ofxzmJWwqn0tJ5dPvNaqD+PMmdxGrS3tOpZbOx/izxQyUCufeyV/piQT8ZOd2GYGB+ZJpXJb8irRlr7byquS/tCsnto+VHHAj3zS1Epr+l76XzSW9AXPR507r9+h9l5aBie69CWxnJ1WnWuBFc3KwxanYEg3PwAAIABJREFUuOn9MXZ6ve2bcPDxLwhsH8hQcMMBjUllREot1zhiQRhRNj/S8oATXvaK7SKUitjmOvfK63Nf+GK/jpTySg6WRj1KUdCpyhFNuaMUJHQe8ORDsrNNMFbqUOY6EcqjpmQpW85bbaoi0yE1+6HUARtyAOIn13L8Ew6MGFLWC094SceMHCVo2P+gg/uRodInq2SIUyP3tre/s2OfjJLzHjsX6YZLNRzHYlczDqo3R9GQyuwUslji2yc++al+I90nPPHJWfmLQYdSW4l1iOdj8hYWY9qG+HbP++7SXfHdKyNpa+fIBE76v+53wHabAkpv5RyGtQxCkACaYwK7Y17woj4AUBtNi1OaU97H/GrnGg151GMf3/Ep2VIqyUF8XvKaq7dGtRkxO/V9H4ivbXNOUJoNml/z+jd2v//DH9buKe+cLajdW8tghpOWzkitzNo9kSE5LenfqHPSgMZYXSkaake1gXn1fgsGlC8cZpXfKXRbrf7pPXUWHrf/kzp0HnJYsnVT0NbS3qCxhvPYNkf+GjmmvkOzdYSZOkwtWOmdoaMGTGr6UP5bKZjdqpeHaOH+evuBY/yZmkywhwYzJ9HD6FpsTUxjyo35lM5b5amVVyX9oU5xbfDq9A99pN/UF9lObTD0t9Jaqquui8aSrtdz0rnz+h1sfn/XHXcq8pZyWG6iQZCcnY5BnlzQi34FS6/BLIdbTfZq94QBx42wb7G8rX7ugMYGSYCUGg3nvae+rzfeNAr9Lrv8io7OKOsl1cDoPLFMIE3RQSQIENdn8yyf+VSnnLxKDpYcGxw9llkgDIwMKE1VjvLLHaUgMdwYJzo/sc4EeNjgEqPFMyjuNCmPISVLfXBMwAR80s+hXn7Fdzv2K+H+g/Z8eD+1MS2L/y0OmowtgSkCVLFO4HzOeef3CpuynnLoM7cZYSC4sftee/d00Mms8ZcvKRARV2JaJliBJVhFIx+x5D77JcRUw3Esdq0GQDSkMjuFLJb4Bg5yjNIpnUzvBFPd53yWNCZvYTGmbWBQtecDxp/lSlEmWHsLLsgM06svuviz21RPeivnMMQHhS00p4lACo4Nss5a0riZLfi++72ndv+0w10GNzFO803/y/GDV9r4lvxjfXlHtHIsJclrrt7kpxl0bLyLTMQRQtVJm/KmQU3lDR5pB792r0Rr7XocEX7WEUf2egj6oVGpVmbtnt6XnJb0b2y7aX3JY4yuFA2146J1V4027kV8xtjzoXJ0X8EB5I9faWnlVLS1tDfKqsna2DZH/nHkGLvK0oW0LQgjHRXQEVa1TqXeGTrGjliqD6Hn3z//he7e/+MHlgZ5WvXyEC3cX28/cIw/0yoT6Px0k9Ax5bbg1ipPrbySHk3tkr5ChAyyHxp+nBLyctY55/Ubl0tGcza4lVblWzqKxpKu13tj/Q7qhd2kTvAWGxttFj4Efs2tb3f7fvA3Z6eh5djjT+jzwL953tHH9gOH5I1P8qRDDu03zsf3oJwUt5rs1e4JAx3X276pHB+95GTDZEBKTUqndsQRxmGOTnJKKCP0NHQ1eDYwZFSfDYNovHReGKnkfqoglVc0rKIn3fdhinJUXu4YFSQjF+qMM/MAo65OAdePe9GJWUxiHjiHtXTV1d/vgxXUlzzBi3KEG9f5T8evlFocNJQmo86aaQOvVKc73+PePV8oi8AJNKVJSpBneHeXBz2kH0UfojMaEt6lLIzPHns9chDLIRzHYNdqAERDTmbHymKJb2mkno1XmQnEL27CSuAJfGdJY/IWFvBv3rYBrZFvkglkHHmUDkFOkVfkNibprZLDoGeFLTTnEiOiasuURYADGoQv2L7i1a+r6qtcvvFa7LhST3659eeiNSdjyk/yWqo3fOXzyOgQyqFu1CfWiev7HXjQdjKjvLmfdvBr90TbrMc4+4UyCZAR/FGqlVm7p/ejnOb0b+ywp/Ulj7G6UnTUjrENzKr3WzCgbOFQk6sSjWN1Wynf3PW4nAF5yC1piO+Npa2lvVHeEM5j2pzqE+tC3fnRoS+lWbEq5ZNeZ+NpRqApP+rD6BswuIKPlkutejn3bnptI/zAef2ZIZmIOj83A2veclOMSv9b5KmVVzX9EXU4tgbfhA695IX99vDxkKeSDW6htVRPXReNQwENno86F7qgtdXv4H18Lewn7/LDV+B9fAfaDAMwzARhELhkp6GBmVDKIx7xfd5zymnFzVRrsle7J6x03Aj7prK2+hGs8z8vOZlUNqTUYoOK51JSb3rrSdssP6gRccFFF/dfr4j54KwR9We6XYsj8Z3LLu8esc++a44536NPv7gxRTmlekQFiQJ789tOWuv4qF504jXimssn5pFzqNN3GJVmQz915lQOSpKOVRxBTt/lfwuuPEfDOv+CC9emxakcjpQNDdBSSp/57Of6jWHVadL7Q3QyG+T4E1/asfGY3tGxhmULjvNi12oAREOpUzBGFmt8w1lmejH4CCsdwZEAYxwZKfEsd33evIUFzsO8bUP0lPhGHQl+IqfIa5qkt0oOg54XttBcSrnP5yHbhzz9sL5+qm+J96V84/Vrrr22b8O0EeqWo1u01sqRvObeV3mMGKGXZpUZ5Q19aQe/dk/lznpE/nCIoz6IfKqVWbsnOsS3kpM7FNAgn7G6UrTUjqU2MKRPWzCgXOFQk6safWN0Wy3f3D06N7Q9fnQKhtIY2lraG+W34Dxvm1P9kDNmLsY2y3T0nO7TO5o+D1bgNlXCz8DfkK6SvWnxDVr1ciutG+EHzuPPtMhE7LQSBPrZf/7nNtWep9xtMqj8aZGnVl7V9IfKST8rj+wQkLz6+z8odsxFvvKYRfb1ro6isaTr9ZyOJZ075Hfofc0q1mCI2gg4sLeI5KNmp+kLsbSO9qv3wYDlwNBHXbhO3WJS3twba6fBfkxfINLl8zIC4Jz/OaBRRm2J7sA8pk6efe55/RKC66+/YS7qcDppwKWAwFTlpMTlFCTT41iCwzIYfYI2fW+K/zj6BG9w1jCKlLteCb6oTqxnpOzWBE9497xPX9CP2LTSifMHfix7YC8OPu8FH6dIG4ldSu96ySLlkDc4sekYvynlb9a816NtwDfkj7aFTM2rL1KezPKfMsEWmVyv8mkj6LP1yj/WV3ylPlPLTCxn7Ln0wZQyPZam3PvwbF5dmcsvvbZI3ZXSkv5fT92WljXr/2WibWyb0/sttvhTZ5/bz2oi8MvzUyd0Ff4Hfgj+yCy+wdS0bIQfOK8/M7au61nuLPI0ph7ocAJhdLCxNdRp1rRRtEa6xvodvE/QJm0jCjrUAhqiYyN9ApWZO663fcuVuVWuIdv5nwMaW0UGFlrPXKdtoQS5cCOwJAi4bSwJI0yGETACWxIBnGNtSD7vZ5q3JHCutBHYAARmCWhsADkuYsEI5IMZBDkc0Fgwa7ZG8e60bQ0+u5azI+C2MTtmfsMIGAEjMBUC+toI6/X5dLyTETACy4OAAxrLw4tloMQBjWXgwhamwZ22Lcx8V72KgNtGFR7fNAJGwAhMjsB3r7yyO+KoY7qDDz1sbd+Z3GcfJy/YGRoBIzATAg5ozATXpn/YAY1Nz+LlrqA7bcvNH1O3OATcNhaHvUs2AkZgayJw2vtPX9s8kA0BH3/AQdt9On1rIuNaG4HlQsABjeXix6KpcUBj0RzY4uWzU/HhRx7Tf0WidbPLLQ6Zq79FEHDb2CKMdjWNgBFYGgQuufTrvT/Cl634QgUbMToZASOwfAiwwSZf9Dv6uOP7LzsuH4WmaCMRcEBjI9F2WUbACBgBI2AEjIARMAJGwAgYASNgBIzAJAg4oDEJjM7ECBgBI2AEjIARMAJGwAgYASNgBIyAEdhIBBzQ2Ei0XZYRMAJGwAgYASNgBIyAETACRsAIGAEjMAkCDmhMAqMzMQJGwAgYASNgBIyAETACRsAIGAEjYAQ2EgEHNDYSbZdlBIyAETACRsAIGAEjYASMgBEwAkbACEyCgAMak8DoTIyAETACRsAIGAEjYASMgBEwAkbACBiBjUTAAY2NRNtlGQEjYASMgBEwAkbACBgBI2AEjIARMAKTIOCAxiQwOhMjYASMgBEwAkbACBgBI2AEjIARMAJGYCMRcEBjI9F2WUbACBgBI2AEjIARMAJGwAgYASNgBIzAJAg4oDEJjM7ECBgBI2AEjIARMAJGwAgYASNgBIyAEdhIBBzQ2Ei0XZYRMAJGwAgYASNgBIyAETACRsAIGAEjMAkCDmhMAqMzMQJGwAgYASNgBIyAETACRsAIGAEjYAQ2EgEHNDYSbZdlBIyAETACRsAIGAEjYASMgBEwAkbACEyCgAMak8DoTIyAETACRsAIGAEjYASMgBEwAkbACBiBjUTAAY2NRHuCsq6//obu59dd18E4JyOwKARuvvnm7qc/+1n3m9/8ZlEkuFwjYATWEQHbmunARU+iL9GbTkbACCwfAsveRu1zLZ/MmKLlQsABjeXiR/eVr13SHX7kMd3r3vjm7ne///021H3sjE92t/mHO3T/+9a37d7x7pO3uec/WweB7111dXf0ccf3P843Ov3xj//dPffo53d/87e36u6x087dN7/17Y0moVgenbDjT3xp34ZoS5sxoRfQD+iJzVrHzci31jotgwwvq61ZFDZjdO6Xv/q17k53v1d3q7+7TXfs8SdsMxhRq0/tXqssrcdzUf+gg3K/l7z8Vd0X/+PL3U03/XE9SHCeMyJw5lnn9Hx618mnzPjm1ni81kY3EoESn5bZ59pIfFrLKuHY+r6fW00EHNBYMr59/Iwz+47iPo97wnaj3699w5v6e3Qkn/3co5aM8s1BDg7YtT/9af9bVmfsS1/+SneHO9+9/3G+0YmRDOQTOcRJx3gsS/rJNdd299l515422tJmTBH/zVrH9eLbKrTvZZDhZbU1i8JmjM6VTUdfPna/A7vf/va3a+Jdq0/t3loGCziJ+oc61X4777ZHd8FFFy+AShcZEVB7fsazj4iXl+Zcsw+Q+XQgbyOIrLXRjShfZZT4FNvcsvlc0L5o/gk/HUs46r6PmxMBBzSWjK9SrLmAxg9/9OPuiQc/rXvM4/fvvnPZ5UtG+eYgZ4zjulEILAONZ597XrfHXo/snv/CF3c33njjRlV9sJxl7QQMEj7DA9G5cUBjBuC6rluGtjNE8TLI8LLamkVhM0ZubrjhV93zjj6223Pvfbbr3NfqU7s3JEPreT/qn0fvu1/3wY98bJsfs8cOfMpT+9mkBDuYVfqhj358PUly3gMILHsHb9GyXmujA9BOervGp2X1uQBg0fxLmVDDMX3W/zcPAg5oLBkvawGNJSN1U5IzxnHdKEBWgcaNwiItZ9kMa0rfFP9jh8IBjdkQXYW2sxVkeDau/fXpRWGzXnJTq0/t3l8R2fizqH9qI/7XXHttR8CDoMbDHvmY7rrrfrHxxLrEHoFl7+Atq6xvtPgsO59KeCwb/1YVxxK+vt6GgAMabTht2FMOaGwY1NmC1stxzRY258VVoHHOqo1+bdkM6+gKZTKIHQoHNDIAVS6tQtvZCjJcYVH11qKwWS+5qdWndq8K0jrfjPqnFtCAjM9+7vPdP9zxn7u/v+0/duee/+l1pszZlxBY9g7essp6Cc/1ur7sfCrVe9n4t6o4lvD19TYEHNBow2myp1hrdv4FF3aPP+Cg7o53+Zd+OuaDH/aI7vQPf7Rfh1YLaFxy6dc7nuXHudI3vvmtfvr//Xfdvc9b13PHE1/2yu7eO+/aPflpz9hujw6e/9WvftVvOPjA3ffsbneHO3V3vse9u0c99vEddJX2lGD3dp4hX5yW//z5z7sjn/+Cvn6MzqBc0vRfv/td974PfLB7+KMfu4bDLg96SMdmYtBQSwjt577wxW7/gw7u7nav+3b/9x/v2N3vgQ/uN1z7/g9+WHu1eA+6oZ/8WKPIj3OuqV65l6nHe099X48//OTHUoyTTz2taSlGWhccP/aAOPKY47orr7oqV+R20+bBC9xYr8yGsfDskKcf1iEXpcRSEerFERouvPgzPQ+hH77DF6YJI6+5dNI7392/TzlxTXj67Le/c1l32OHP6+553116pxZMeedrl1y6zeZ46Xv8x0hSL/CM2L7+zW8tysgUhlU8eeZzntvLFfIF3bTZM848q4hJ2j7hywtPeEnPT/i64/0e0PP1Bz/8Ua6621xjNDPl6XOed3THu7FDMU9AI+UdckJbQm6YHo5+edvb39kh20MplX9kB37VeESeU9IwRCP3V6l9pzIMxvADvsAf2gKySJtFVnNpLL6pLOfK4FpqL6AN3cEyhJK9UF6Lat+Uj1464qhj+rYpnVnDtCWg8dFPnNFhgx/w4Id2p3/oI6pm/3WTaB/XbgxM1U7lIL6nc/QzOgnaab/URfajRc8on1mOUf8MBTR++cvr+6U2+AFveMvbssVI385rz8HphJe9osN/UPsYsl/R/kGUdKDsHzqsVQem9MuGI1/IWSmlbWyMvaCt0eaoNzqYHzInHdHawYv2+ta3u31vt7Hf4FPSNWPqoXfxD5Bd5AQ5lt+FHsulWdtvLo94LfVha/fQx2/5t7evyVuLv6X8xvAp1enKMz1GHiKLrT6X5HgWv2de/qV+A+1uFr95DI4pXv6/eRBAhvO/rsNVwluKHlP+2b/kccstt3R//f25u+WWP3e3/PnP3c3/c/1/bR7Y5qsJ6/TozNFZRnHHH9f4cgSdSK7n9tAoOVUoBxwa3iOQAJNyiUDDbg/dq3/urSe9Y7tHCLTcdcedtqEr0rj3Y/btWFudpuh4vemtJ/UOXXwvDWhcdfX3uwft+fBiOTiFpS9nsF8DBjaHIWViyHFEShiktOu/AkmR7nie6zhC4657PKxYDwIMta9QDNUF5ww+pXWJcoATU8KS90trl3FEqd/Tn3V4H8Aq4ckO9rmOiRyknJyCKe+84tWvW3NSIpacU95xLzoxmzf1JUgEL9P39B85ZRf9NEVZzPEsfT79P8QTyt/vwIM62nKaUr7QsRG98cgXDz7/xS+lr6/9Z5PVHe62Y/Zd6v3pCy9a25R1njpG3r3nlNP6TkCkT+dsYJirpwgdkn9oRafk0lQ05PLOXVul9h1l+JTT3t/Lm3gSj7Qh9itI9QP1H4tvlGXOc2nIXrBnRM5eLLJ9UzbBNnWeIp6cg+lLX/Hq7fTSEB7oWfQt+ZJ/5EnkZ9pe570HP2ib6KK0DvqPnlmPWRGzBDTis8hkmob07ZA9//DHPl61E4ce9pzswILsH0fxTrjFI/a95ItQlyH6kQfsYM6GRpnCjs9rL2hj+GaRbp1LHl/z+jf290sBqCF7TT4E56euhzAQvekxlZl5228qd+n/1naIPsYupnTyv+ZvUd5YPkWdTrtK0xAPaz7XkBxTv5zfMyv/oHnIbxjym8fimOLm/5sHAfRD/ueAxqRcRtnQOZTiO+YFL+ouu/yKfhSaI/due/sd+pFSnsl1FKU8+MIF5zG9/V3v6fPGAPOVjlz61Nnn9qPkODqXfv0b2zxCB4vrlM1614su/mxPG8qDT32pg5Xr5ERjcJd73qd3MF780pf3ZRC8uPJ731srC0X8uP2f1JeD4oImdrVmpInO/0Me/qj+Xq7+EUMcnZe98jUd+VP+Vy+5tN+IDKU9ZFjWiAkn0EA+Z51zXvf//vlu/Y9zrvFLd96mXDkg1APHSs9yzjWw5BmeTVOsC/RGeRiqi+QAedntIXv1ZaXlM8JB+Yx8XPHdK9PiOzl0PAdvCaZJHil//yc9pX8fPHOjJDXjikKho8W7/J76jGf1/AEfyqAsHCTu5Tpk+mQk9CMPyCJyAw84l4zk1mVTxrxfOYmfRoM22uTlV3y3d+J+ft11/aeSaXvQxYgg9Ywp8gX+R7mgHfGpZb1PEIpRoTTFdsgzYBHlCn7tvtfea/KVdpDS/HL/xbt/uc/9+wAmG/jBc/GHelN/6olcpvUkz5r806bFo1LwZgoacnUrXVul9h1l+KGPeHSvl9HByBD3YhtgOj//0zQWX8lyztZQVklOW+zFoto3dKts9A/B/x//5JpevgkOvPp1b+htB6Oa6NOYanioQ6zOY9peIj/T9jrvvair0N+nvu8DvY6kbPQ9bZr2y6yFeWctxvrH8xikKHWQ9XwcRMFHiSnawHnsefzU5pMOObTfKB0/grZOQFy6lraQJtk/7Ccj2DWfB58KuU5TjX78Kw28lOycZAo7Pq+9QG7Vwaa+BC6iT4QdRwfjTyEPOX4hM7LXyHD0BVrs9Zh6gCH+KvaHGYzQCO9oF/zSjvu87TflXfq/tR1ie2lvUR+jK+RvEcT/+je+mWbfBx/H8kk6PecbRx4ib7P4XFGXzOr3zMq/mt/Q4jdPIe/bMccXNg0CtIP8zwGNSZl8znnn985SqbMdFRJKPae0ZDhyTibLE+51/wf2HRGUfprIHweOvFlughJTig4Kn4NlxkeaMDgYfhRe2sGNxqDUgVF+X/jSf/TBAp5Lgyo8872rru6dMAxHumQChYezybuszU0TypWppNSx1GFM30n/1zDWs2AHTpTzr/sd0P3iF7/UrbUjDhBT6Hgm1ylUXUryEJ0lppGiyJVEI3mXAiaxw5E6kuQjh67kbCEDBzz5kJ5+DHG6rKRmXEVfKe8o68hsXFrzh5tu6keCwIVyY71Vf+QGGUAW0hHIKItp50Hvl444/kzT/T+3uV020MJ7zJgBd2Y64azHpHrX+CI9ADbp525TzHN1jw4B5cxaR+gV73if4AWyFhP8QWa5z2ypNEAa5b8kf9HxQI5SnTKWhkjvLOfiUU6HKp9Yv0W07yjDJX0a5eCoY18o0teOY/Gt4RTtRamNSv8g5+8//UNrdC2yfSPXjNgj17mZjNwnqKHO9Z/+9Kc1ukt4oMd5vqTryCDyM22v897DvqA70YEEENNE+2NDTjqJpVlS6Tut/yP/cx3kmI/sHIG31Gbr3rz2/FWvfX3PS2anpvoFGlj280873KUPLDACHZPsH7IwJMM8w6ydNIn+kg2Pdi7X0ZVMkX9Jj9bsBfTgiyF7JT0R/QjKyfFLdFAPMIPumPjPrFfKWa961NqBaIGOeduv8igda+XHeyWcCWKADRjnllZNwSfp9FrfoKSHoiymPtdYvwdMI0apjhPmU9jVKXAUPT5uPgSQ8/zPAY3JuA3AROtRdiXjS2F0HLSEoaa0cs44yoKoLGVQFmXGpLxReNHB5Bk6hThGqaKL73OuzhxR/zhjISqznOGP+aDsoJGycqMePEtd0kR5mjVQK0P1zHV20zxz/2XccxjreabMMRMl56TpGY6aEZN2fmNdco618vjulVd2dFYI0sRRNtEIjrmlQ7wP/2X8c06MHDqmhbPOOZdw2CiDGQ/wOKaacYVm3qvJOntEMIWVdcbsp5EmMIoyFu9Hhzp1HqIslgxrzCt3/utf/7q4T4aw3+Gu9+xHleL7ukfdT3v/6fHW2jl5EzThGTCMSe+XOil6Vu2QPOapo3h3j5123mb2lPLnqMBjrh1I/ofo1IaAuXYyloZI6yznwjhXL+Wj+uXo1jMc16t9Rxmu6Qd16HK2Yiy+NZxkL3Duc0FpsEH/MCOJgBn7CaVpEe076g2wyyVG+FPbyXM5PNi7AjkqdSKUf+Rn2l7nvSd6mE1IW82lnB3NPTfrtYhjzraQHx1pZo2AD3oqDWpGGzivPZcNw87leMY1+JlLeneojUvXzmvDCSwxIAEGaT3FQ+7NYy8iH2p6QgMAlJPjl+w1/mNJZggYaVlzOkAyth7wp9YOxL9Y31nbr/IoHWvlx3vMPM4lZK3kb0W6x/BJOj2n78XDMT7XvH4PeESMUh0nvMba1alwFD0+bj4EaIf5nwMak3E7TrssGS4VhsLE8OSUlgxHyRmXg50LTDBrA8crd09l5gIhooujOjlpMKJFmSkfKTVoYdPD3MiKno1Hlq3QASvVXc9Gw1Iyeno2dxzCmHfgYYlHMU+NoqVOp+rCVNOLP/Pv8ZWmc9GY5pu+LAOYc2Lk0JWcQfJSObMENOImcEOyntLb+p/lH1rSQB1jmkUW43ut5+xfAd9ycii8hvgi7FPatWysFmSCTskPMlhyHmr1kVwQWMGJySXhmKun5D918tN8ogOS1nUsDegNZriw9rz0Q9ekSTzK1UvPqn45HaxnOK5X+xb28JegYinB+5IeGotvDSfZi3SmX4nOWa+vZ/uW48/Mo1wgtURrikdrMIP8Ij/T9jrvvehToMPZUHKjUmzXzE5hun38xQ0ekU+wZulCTNJhtXbI8zV7Ln1JYI3loTzbmqSDh3St/JVUp4v+loETtcVUn0im0rzTOojWVIeKtiE/giAFbRVekFdMstf4Y7mZvfFZBVBTn2FsPSij1g4iDfO235hH7rxWfrxX08fic4rxFHyCZuWfypF4CH/Xy+eq+T3QFjFKdZzwHmtXp8JR9Pi4+RDIBzMIcjigMRm3ZfyGDBcF1hq9DEfJCdDsBIxTnIUBkzVDJI0QR4eB9dqMqJV+Tzz4af1MjrT8FmUmMDGurNFE+fIDE3ZVRgniyJaSgimMqGBQSzRynS+e5Ix3Ke94fQhjnpVhp5waHdAJvdASlbzqkgaGIh218xYaeV8GMDWw3JOTlLunslXOLAGNUidPec5yRDbZZ+Lsc8/rg18HH3pY7xzjREt+UidvFlms0cIII/tnfOCDH+5nyTAtOTrqaRsgL+GVuxfLEvYp7eoopg5jfJfz6MBEuUqfK/2XXKSOUXxeOObqIvlv6dBqaVYqZ2NpEH2Sg9wxxZf6tfBI9VtU+451q/GXe9Q7x8ex+JZwivYCnMakRbRv7bsAbthJAqPsH8CU8XTpVayb8MBevfxVr+2n+JPH0ccdX5wFoPdr/Jz3Hnmz+Sh1gA6WCxz01Kf3syK0L4jKn/oYAxqUXfpB07OOOLK75tptZ/dBj2zgGHuOrdGMVmhgHwolw+uKAAAgAElEQVR0KMudSrP7hIV0cKqXdF/HGDiKbVH012a5KQ8Cr/AptaOSqZyO1bscRWuqzxgMIZjR4kfItqT1lb0mMIN/V/Nn8A/BOdU3Y+tBHWvtIGIxb/uNeeTOa+XX7sW8pHNTjKfgE+Uo/xR/8bClfxHpzZ3P4/eQTwtGY+3qVDjm6u1rmwMBfIr8zwGNyTjcqvApsOaktuQjwxWnD/7oxz/pdtplt+x621bnJDotqQFuUWYRTEZXmZ0RO6bKnzW/fM41nSoqXPRcyzE1LJGG0nkLxnIwWmjQM9EZUl1SB6dEU3q9hUbekQHM4aA65O6pPJWTo1N5p8ZV76QyojxbjhhVpqmzZ4vwi0c+o4qzzDXoiGlWWYzvco4DyydzlX8sl3OcBpzTXP1a6y7sU9p1vcYTaIxtNspVWpfS/xLv4vPCMVfPVjrJT2WlddL1VH5aabj++hu64098adUBT/coIe8WHql+Ke9r/yMfxrZvYU95Md+IDecqJ4fhWHxLOEXZo4x50iLbN/TSKdIMr8hT2jxB09znToVHfJ7z0pr6iEuNn/PeI39sJMt6tGF3pA26CNS0zoCM9A6dRxlgn450hhT6E1pyukN5S3YjzUPnqQ4hL/bcesITn7wW2FEebG4Jbek+XCpfbTyXp57hGOsa26Loz9nG+D7nkp30WV2v4cT7ojVtb7PQIH2Q1lc0CLeWY6pvlMe89aCOtXaQ4jlP+03zSP/Xyq/di/mUMJ6CT5Sj/OfFP9Kano/xe8irBSPJcYuM6Zl525ywSuU9rbf/by4E8sEMz9CYlMtsqMma+yGFT6HatyBVWtxrMRxatx5HDpitQScsN72SzR4ZfUaBMDKcOie5/0xNjBthtiizHKCMorAem1EuRldwQqTIGCmII2Ya5cBRw4nL0ZVe+9wXvpgrtnqtBWONOuecuZQG/SeopKQ16KmDo/tDxxYayaOm1GVcagpf5eToVN6pnGpaYIus5+qZzuAhqME+G8xcYuSNWTxMr6ZcZAU6YppXFskjjvjRXuj0EHj76CfO6KdM49wKk1z9avcijcI+pV1yVeMJ+cR9OKLBj2XUzku8i+8Ix1w9W+kkPwVY0zqNpSHSOst5C49Uv0W1b2GPfNf4K0c5bYPgMRbfEk5x74NUflv4sMj2HenD8aEzzLIF7N8d7/Iva7YnF6QQHvCE++h12c3Sho4qr8bPee8pb47YST5hTVt78MMesU0wFhpzmwvH92c9j538tF2TF/s98XUVsHrKoc/cxo6rrKntObNT2bODWWN3vse913hJkCr36XLp4Bz9opFjSdeK/pxtjO9zrpHl9FnJVE7HxjxEa9reZqFBo+NpfeWbMtOD/OWv1I4sP6AdK42tB/nU2oHKicdZ2298N3deK792L+YlnZtiPAWfKEf5p/p+rM811u+BthaMxtrVqXCMPPP55kLAAY0N4Gds7LU1eJAiw5MqLe61GI7obNAJxPBos9B0UypVXYqG9YnzpFi/mgM+lDc7kfM5TDqT/OKyGRleNuNEga9XasGYjShx1tLNUVtpUl3mnSLYQiO0yACmBpZ7cpJy91QPlZM6YjHvVE5xLFkzDT5Dsq5y4lHGGf7zxYF0pg7PRhmnjjGNkcW4JjvdkV9lCJOcE1q7p/c5CvuUdvGrtrcF72uKKRjP095UTsq7SKNwzNVT8j9EJ7pHa7dT3TKWhkjrLOctPFL9FtW+hf0QfxcR0ABr2YuhpVE5viyyfefo0TUcIT4bLt1V+rIUHT++PEGKXzaoBQ5q/Jz3nujOHQlwEPTXLLOS3c+923It6t+S/dDXCKBBeMW8ZQPXy57z5SwCkrSh3L5h0sHwLf2CV6RTy4XTvTJEf4sN1zLidM+hFl0ELaI1tRd6f4gGZJu2ChYpv2Sv0/pFDIbORUfOVsR3S/XgmVo7iHmUzofab+k9Xa+VX7un9znKpqUYC58xfIr5p3ZbPIS/8/hcY/0eaGvBaKxdnQrHyDOfby4EHNDYAH7GUa10D4tYPNNDtZN0qrR4Tg16yHBoZ246E2zGhUGvvSOFljpxkbbaeYsyq70f70VniREnJa1lTQMduj/VsQVjzbDIOUotdMQ9EEpfKSEfHFOMFb84W6WFRt4vGVjuyblIjW+kX+XMEtCIndiarBOoYH8MZCeud1YUvrYuOOKXOnljZLGlo6bRtlx7El65exFXYZ/SLrliBLj09Qjy0ea/Qx3eWGY8l1zkdIyeE465urTSGT8lHYOTlDGWBtE567GFR6rfotq3sB/i76ICGuqgsX8BuqmUWBZEXTgqLbJ9i4baUZtnxxmOPF+SG0b/FTggAItDlaYaP+e9l5aR/ocO7ZvVstdN+n7tf7TRJfvBV6we9sjH9J3onJ7ZCHsunuU2zZQOHtK1mt2ayoPop43WbHgcUIrLgMFX9OV0bMRftKb2opUG2qj2Gkn5FX3TeQNfY+tBXWvtIGIxdF5qv0Pv1cqv3Yv5yqalGE/BJ8pR/ml7GutzjfV7oK0Fo7F2dSocI898vrkQcEBjg/ipEYvcdFaRgDKWc5QqLZ5pNRwaBWP0g09jYnRrn3OKHQ+mbZYSa3IfuPue3Wte/8bu93/4w9pjLcpMD/M9c/bJKHV2o7OUbjqHwaUuOEo4TLnEdNc99npkPzIMXrOmlpGX+Ck2ZpTknFjKJVrOiB88SOlVXbjP1OdcghcEcNj/JC5ZaZUDGcDUwFKWnKTcPdGicmYJaPCunEActdKyn4su/my/YWrqzMnopQ6kaOJ4+oc+0u8HgyykTt4sshjz5Fw7qJc6AASV1ElI6eZ94ZW7F8sS9intBHgetOfDexlPl1zpfdrH4/Z/Uv8M9V/EDI0o/yU6aRN08KAx1/GVbOb0nOoqXg7hqedbjqvQvlXvIf4uKqAhewF9pU587NBGOV9k+0bP7n/Qwf3XskoBQ3WI0oBqqW0j59hF9DS2O7e8ocbPee994pOf6m0x+0fk9smALumq3Ewa9Aj6JjcDbqgdRRtdsx+yA2CT8ytkA+ex5wTJ2HCUpUIEeHNJPMuNjEsHI8PHvOBFWRuOntMsjzQYQXmiv7bkCPuH/mIGREqn6BvSb6I1tiPKh8fQTh1qNMTNY3P8Ep/Y9PqK716Zg7KfFYkP+a/7HTB5PSiQoItmR5VmGYxpv9lKhYvztsOQxVrAIcV4Kj7VbKZ4iCzN6nON9Xta+Rf9hnn85qlwjDzz+eZCABnJ/7wp6KScjg4eijt+Mg4GMC3zrjvu1O9ajYHKOfqtBjCOCpAXP2ZhlBLlyyljo853nXzKNjMCcHre/d5T1zbxTJVRzRikZZK3nD86ppStpM1CdZ+1mjFddfX3e8NNfZgqimMdE5u5cZ37NeMc30nPYxQYh4llMNCYOn4amWPfj5e98jX9c8or8hNacuuI47pF9jbhixpKvM9n6Ah+8X7qcLXKgQxgamApR05S7p7oUDmzBjRip5vP+f3757+wDZ+RfTkvBzz5kG0ccm1gS73ZWyU66ykuPJM6ebPIouqpozoz7LzPOeUpRdmk3JwTKrxy95QPR2Gf0s49BbFoA+lnjdk7hHfpOOEgQ8ciAhrQqeBrjk4CP298y7/1dHKfYG6aJJs5PadnxcshPPV8y3EV2rfqPcTfRQU0wFmdJGQRXscZZMipprhj01iaobTI9o0N3n2vvft2Q8cs7gMFfVEv8cWHOHOs1rapO4E9+JUbsKjxc9572Eawp32lS/OwVdhZ3ec8JvYikm3hi2P4C7Ok1oBGfI5ALQGUmMbYc3gDj8CcznzaEccXUDACnqcDCtLBt77d7Xu/pibDpU5itOGUFTeTxXZg97B/0JjaOXCoyVTESbTm7AX1xtehjJQG+W3/tMNdOjbS5hnyShMdTflNBJ9ZehVtn+wOsoZtZDAipinqEWeK0DaRFWiIfteY9hvpzZ3P2w5jXrJpOYyn4JPyz9nMMT7XWL8HDFr4x3Nj/eYpcIw88/nmQgCdkf85oDE5p9m4CwcPw4JxYMNDDJ42sWKk4j2nnNbfzymtVsMB4YrYUlbL1GmcMpwb6OKd+H35uGHafgcetN0mYzVjkIIYjSflUHfqyqwKffUEGo570YnbOMnKp4Rh/KQm+ZSi/MqndpSzDn38cutLaTQ8p41McR7BOfKTd3HkcNxyKTqWOXngfRwNMIupVQ5kAHMGVk5S7p7KUjmzBjR4Pzqr1AM+gw0yLxkrjSpF/OElS6HAIbYT5IV8UydvFllUPXWMToFoZkRXsgndfBoRBzfXyRZeuXsqg6OwT2nnXqkdIlvqoDDLiTYDjYsKaKTyH/VFSzuWbOb0nLASL4fw1POtxyhfYLhs7Vv1HuLvIgMasRMPneK/5JRryGtuxkLEfyPbN/Ihh1r0sXklI89RL6Gn6NTFNNS2Y+c21Ws1fs57L8UfG42e5BftNcH01H6o7YEBgeXasqGIgc5joKJmP3iegRrprVxgc4w9j/YTO4ydgpccZZfRHWeceZZIXztKBzPzQp+RL8kwS0rQd7kU6adM/JDUB2DAAvlI05BM6XnRmrMXPIOvI50baZAcIAOvePXrentR4hf2WrMDkQvZ69ieyZu2m2IxVT0UJKd8/dKBuHnbr7AsHedthzE/tasSxmP5pPxLNnNen2us3yMMWviX+g3z+M1jcRS9Pm4+BJCv/M8BjXXhNtPmcp8Z2/sx+/ZGr+akthoOCI8jYbnpkrnKEQ3nk6k4dzIoOjJts/QZuJoxyJXDrAc+uUieyl9Hys59tjXmw0gIRlpOi96lw/mIffYtfqot5lE7x1nEcEf6cs4EDef8Cy5cW58qOjiiqJnKx+hGLZXqwvvMzACrNLXKgQxgzsDKScrdU3kqZ56ABnlQdzCgLhEb+Ab/rrn2WhW1zRFcmb2Tfo6Q95Dlq7//g7UOfcqXWWVxm4K7rscbmlPZQhZwbHGicZJznWzhlbsXyxH2Ke16hnaY+xwjTivBDHBddEADWmvyP9SOJZsl54z8xcshPIVb63HZ27fqTZupBaxqtmIsvi2yXLMXjPRecNHFWZYssn1D0Gc++7l+2aICq9JN0ktxpF0VaMEjdrBZtqbZZTV+znsPupBjdNKs9pplVwysUH9sOvyYJc0S0IBGdD0YEzzJLa8s2cAWe/6dyy7vGGRJ9fXQu9LBHOHTC1584nZ5IMPY9yF8SvQP+QAtMgVfRGvJXvBM7lOmYHDI0w/rA1rSB+RVSiV7De9qWExVD+mFKM8sm0rxn6f9luqs62PaofJowXgMn5R/zWaWeCjdVvK58DPn9XtU/1b+8dxYv3kMjqLXx82HALKV/zmgsa7cxilgHS9OEJ+ihAnLkqAFmkTfvGtth+qDQ0zeTJ+lrFlxYJobIx84zkSnwXTKJPpa6s+aXjZgZdNIRrxw5GZJ1IU6UBeCUbO+P0tZG/0sdaFO4hN1bUngj7NIx412MjV/azRAIzLJJ1tZDrQIflB/HK1ZcavVa73uIf/SF7O24/WiaShft+8hhNruy17QRpGBuAloLYdFtm/oQp+gs8/79AW9HWnVS7U6LeJexB8etNgr9Fk6c2MRtMcywX9ee8672E+Warb4AgoSxA7+WJ9MNCzShtP2Zm2HkQecIxv4MPgytI/W9pzmM+9/yfOQH7XK7XcKPtXwndfnQobH+j2t/IN+cBjjN683jjWMfW/5EED28j8HNJaPW6bICBgBI2AEjIARMAJGYG4EcgGNuTPzi0bACBgBI7BwBPLBDIIcDmgsnDkmwAgYASNgBIyAETACRmA6BBzQmA5L52QEjIARWAYEHNBYBi6YBiNgBIyAETACRsAIGIF1R8ABjXWH2AUYASNgBDYUAQc0NhRuF2YEjIARMAJGwAgYASOwKAQc0FgU8i7XCBgBI7A+CDigsT64OlcjYASMgBEwAkbACBiBJUPgXSef0h1+5DEdRycjYASMgBFYfQQc0Fh9HroGRsAIGAEjYASMgBEwAkbACBgBI2AEthwCDmhsOZa7wkbACBgBI2AEjIARMAJGwAgYASNgBFYfAQc0Vp+HroERMAJGwAgYASNgBIyAETACRsAIGIEth4ADGluO5a6wETACRsAIGAEjYASMgBEwAkbACBiB1UfAAY3V56FrYASMgBEwAkbACBgBI2AEjIARMAJGYMsh4IDGlmO5K2wEjIARMAJGwAgYASNgBIyAETACRmD1EXBAY/V56BoYASNgBIyAETACRsAIGAEjYASMgBHYcgg4oLHlWO4KGwEjYASMgBEwAkbACBgBI2AEjIARWH0EHNBYfR66BkbACBgBI2AEjIARMAJGwAgYASNgBLYcAg5obDmWu8JGwAgYASNgBIyAETACRsAIGAEjYARWHwEHNFafh66BETACRsAIGAEjYASMgBEwAkbACBiBLYeAAxpbjuWusBEwAkbACBgBI2AEjIARMAJGwAgYgdVHwAGN1eeha2AEjIARMAJGwAgYASNgBIyAETACRmDLIeCAxpZjuStsBIyAETACKQIYw+9cdnn3kpe/qnve0cd2p77vA92vfvWr9LFN8/83v/lN99Of/ay7+eabl6JOy0bPUoBiIoyAEZgLAfQa+g294mQEjMDmR8ABjSXk8btOPqU7/MhjOo5OWxeBr3ztkl4OXvfGN3e/+/3vNxSI7111dXf0ccf3P86dtkWAju6b3npS9/BHP7a7273u2911x526PfZ6ZPf6N7+12glW26Z9t/yGeC8ZacmLZ+Bpjp9nnnXOaHoIBux/0ME9FmDynOcd3V1z7bXbAhf+/dfvfte95vVv7I446pjus5/7fLiz8ac33PCr7imHPrP7m7+91drvTne/V3fp17+xLsRIDhal47/81a911O9Wf3eb7tjjT+hwBBaZlo2eRWKx7GVL5wzppmWvh+nbvAj88Y//3T336Of3uvweO+3cffNb3968lV1wza6//obu+BNfWvQtFkyei99CCDigsYHMJlL8k2uu7X5+3XVVB/IZzz6iV8QcnbYuAh8/48xeDvZ53BM2fJThS1/+SneHO9+9/3G+yummm/7YXfvTn/Y/zscmOv873G3HtY5v7ARzfu+dd+1w+nNJbTt9p/R/iPeSkdL76XV4muPni1/68mJ9Yh4ler7+jW/2gQw6yAQz+HG+6x4P6374ox/noOiDPzxDIGEKvmQLabz40le8uq///771bTvqSPDnxJe9siPoMktaFR0f5eax+x3Y/fa3v52lmjM924LJRtIzE/F+eDsExKuSLtjuhRkvtMjLjFn68U2GAJ1ofGmOuYQMIZ/YLmwMNttpfRCAD/fZeddN4SuuD0LOdaMQcEBjo5Duuu61b3hTr2CHHAF1ehzQ2EDmLGFR6+041qq8mQIaU9blY2d8srvNP9yhb8c777ZH9/7TP9R32Om0c841nKgHPPih3VVXf387iD/3hS92H/zIxwZ/T3jik/t8hjqbP/rxTwbzojw67P/nNrfrdrjrPbuvXnLpdnRJ5xx62HOq+X36wos6Rr9iwogc+fwX9PS++nVv6IO1TPdl5gVYvPWkd8TH+/PPf/FL/QyB+++6e3bGyHYvrOOFX//6192jHvv4ntYXnvCSarB5iIxV0fHMSGFZzZ5779NdcNHFQ9Uadb8Fk42kZ1Rl/HK33napRV7Mhq2NgOxVzUc++9zz+lmTz3/hi7sbb7xxawO2jrV3QGMdwXXWMyHggMZMcI17uNVQtyjrcZT47VVAYL0dxxoGUwYBauVsxL2p6kKniyUmdNJZWpFzkghiEMzgGYII86Qrr7qqu9f9H9iPLJ30znfPk8U27xCAeOozntXTdMCTD9lu1kEczXr7u96zzbstf/T+Xe55n22m9p57/qe7v7/tP3ap0wmOBGoIDH3oox9vKWJdn5FDBs9oc2OSdfz26LVisv2bvrKMCKy3XbK8LCPXl4sm+8jLww/Zz9Lsz+Wh1JRsdgQc0NhADrcaaivrDWTKEhe13o5jrepTBQFqZWzUvanqwswGZjjc9vY7dBd/5t+L5L/qta/vgwdDM7FKGWj5w4P2fHi/qVnpudbr7E/xD3f85z6AcM5552/3GstxmCkxb4deAQ2mneLcKAn3GNDA4DCLg7JY1rHopSbQKods3vqrvhyt4yMafzlvxWT7N31lGRFYb7tkeVlGri8XTfaRl4cfsp8OaCwPT7YqJQ5obADnmfLGuvo73uVfekeekUlGYLnGVGd2Yo4pKmsYdOHFn+kef8BB/fu8++CHPaJ729vfud1Ia8xD52xeyOZdD9x9z+52d7hTd+d73LsvE6ck15lgkzro+tf9DtiOLuXJ8brrftHt+4Qn9s+++W0nxVvN59/+zmX9tHQ6QqxdhzbqSX2pd5ouufTrfd2pP+esb3/Lv729n+bPSDDr9g95+mHdN775rfTV7P9ZsSETeAXPwIgRaNGwy4Me0ncYqUMrDUzLP/+CC7fj7ekf/mj/5YEpHEfKOOPMs7onP+0Z3T3vu0t369vdvj9CI8sfcjhTT3VGZaSYjcDGT/BKWB92+PM6eNiSwOm9p76vnwJKO0AWWzbRZIYCWENvaZ1/KheiB/7wrvZz0P4OXBP/9GzLkfZC53/oyxAf/tjH5w5obPTsDOp95fe+17Fx2v/757t1X/jSf7RAsc0zCmiQB3kp5WZoIHPIVG1vDb0/6xFZRCaRc8loTc4lHzyP/iGgQfuVfKC3W9Mq6XjqlOqxWM/03n/+/Of9kiLZLzqcLWkWTNIyY/7pPfQ2S4N2vN8Dej6zzItlTbJn6Dx0KPoFPQPdzKhqsQupnuJd8jn51NOyM7IinS3n6FvaAPSgl5BTdCrLs2q6NMVgjN0ZonMKuzSP3ZlFXlSHecrRu7VjalOEN7IWdUtNptI8vnvllf1+QchkKXg6r/wJO44k6ELGoq1t9RnpoPKlJ+Se99UGahtep/LZojPixtroXXDBTz3hZa/YJjAuPmH/0efoZ2HIUfo69RFafAfyntVuiJ6Iufx0fENhzmxOZiAio2PSvDKe1l8yAdaz9iPwS4485rhe57J0Fd2LDoaHDmiM4a7fnRIB2mH+13V0KelVxp5l/tm/5HHLLbd0f/39ubvllj93t/z5z93N/3P9f01J+CrlpQAFRiz9paOa1EvPP/1Zh/cb58nZTt9l2jbTt0uJzjJfX0jf0/+9H7Pvdhv2sas/u99jtD919rmlrPvOPM/M8yUAhAjjWKoXHU9GqeWgiojYyT7v0xf009ZVl3gk31e8+nXbva98OM6DDe9JeVPeKae9v0jD0HR6+IYBpq6Rds65xg7dGEP+zzvSzxcmkJE0f/1XOSnO1HMWrAmY1Yw2O4zTgVW56REZhR+51DJaF2nlXEkBobQ8/ef+eiRtsLn/k54y89dpNnp2BvUXfumSkVZsaM8EEpAnPnVK4hqOKVirA0wQ9GGPfEzvTLEXyVQJ+aW91/QJ9KVLhIbkAz3cmqSzJVvxuGw6njpFPZa2g3iPL/loCZXqJH4OYTMLJrHMGj3vePfJ3UMe/qisLmHGzy9+8cuOfWBEazwO6eQhPUVntrTZ7xAW3Ef+1E4iXTqv2a2Izxi7M0TnFHZpXrszi7xQj3nLGcKA+9KJBF/n9TViHgQT8JXEa46pnI+RP2HHEb8BWY9l6Rw7XPriBzqbQQcFC/ROPGKrv/gfX94OwiifLTpjyP+CBgYGYlLgPNITz1M/ach3mNduiCZhjp+OD5Tz5aBvzEzEMTIe6/+eU04rykStH4FMILslmWAWKTNAsXEa/BI+PhqBjUYAec3/HNCYjBfakVkO/iP22be74rtX9k4lke20MyhFudMuu/UBCTq3l11+Rf88RxSklCd5wsA0adM9FCqdiIsu/mz/PpsXMgtDX2lIlRmfB6Ujxnts9JfLm2vaBJAZFYwqzJK0sSIOHPn8+CfX9OXgTDEdHWNMsCQ1aHIQmPJP9Bsl+7JXvqbffBGDypKAA5/y1B4b8CFokkvzYkNe0XDvvtfePY7gCa7cg2ZGDMAP48/XH9KEIYWHPENdj3nBi7bjL3VkhIVnUkOd5pf7j/F/3P5PWisDnH7wwx91f/rTn3q8+U/ZsRMa84lY7/aQvQaxVkc25sF53FOCDgH4gBM/AmbqnODswZc0RaNMnXJJtKYGFVmmnLPOOa+ffcAMBM5V/np8Cvdb3/5OP0MAXGfd/2IRszPAUx17nBICmi9/1Wv70TnkuGUWDXmoTSFTtEFklvatzVHRGcg58swxp1dyvB26Rj5yJikv1ZXoR2ii3NSxlHygNxhx4hkceslHaQf9HE2rpOOhnzrCb+qcdqziPYJc6FmCdMgG7TnOwslhoWuzYBLLrNHD0ijkUnoEe/i0Zz6712PYjEfvu1/3Tzvcpf8ccE4nl5Zx1fQUZaG7wEryrDq2HqPOT+0WuCrQgd5AntP2EfGZ1+4M0RppnNcujbE7s8jLmHKGcOC+bMoYX0N5IJeM2uNzMZsVmeVHZ1VprPzJZ8RWM/On5vOVZsfJL0POscv4jOCMnuRctpq8CU7HFOVzSGfoE82Uo7YM75E/dLH8T2bO4Scr0Sb4QiBl6RPbHPnPL/16YM13GGM3RI8wpw7wNtqeWI95fAHKGCvjqv+/3Of+vS+KXYYusEr7ESWbHINjzNqO/QiCy/hc6Fz8t9T/Ek4+GoGNQoB2nf85oDE5D6RghjqoUpQl5yY6Hrs9dK+O6X0xoQgpA4Px7OcelQ04oNg0FT/tePG1BsomoMJXFNLEtHuNuJ/2/tPT29X/CJtG0HIBE+4T1JDTRwdcSQ4C9cLhQtmmKWLDsh46iTGNxQZjoI5AqROuT1hC5xve8rZYfH/OPgbQX6oDGKiTRh5D8rJdAV3X4TTgfNfKUFAqN5NgVqxZcvP9H/xwG1LYjBL5ow6ljgBBLIJqPJPbsLKlzYjWkkEdur8N0TP8IRBJQBKZwCFlJEOBwv0OPKg6exxq+BEAACAASURBVCpXzCJmZ0AHG4GCP443P87TH9ji8CKbpcTXMugwojsILuDofOeyy/vHJfM5Z7iUX8t18bakK8lDThltIbeHSGzTaWe6hYb4TIu88vyidXytzvFeScfFOg+dt2ASy0x5EO/lvopDQB3dgcwiB7ngKo44+8gg3yw1iinqKZx2ZnmkieAIwT3KKDn/6TvxP0ERyq7pY+n8XCA8YlDiyZDdifTkztVGW2gEh5xdGmt3oKtFXqYoJ4eBrkmvUM8SHkO+RsyjZP8obwr5kz6B3nSQSnVS0JlnsDUx/eGmm/olBNS19H6cvZu2oRb5VHksE2ZwoYRJ9C9Lm1SrvhxLqSZH4s0YuyEaSnlEvQSmpSWzJfrHyrjqD7/TYD5lYss1yIBeBfeY8G2w56X3eTbKVMn/inn63AisJwLIdP7ngMbkuEvB5ByBWJgUJUGDVMnoOda6YxRySkRr13Mder3PkXXHKKu0QxtHinNTwxlZxzkbyj+WpfMYUGDzxFyio5jrOMkIQTNfbcARyKWaQRyLTTTcjFrmErQraJMaXO4xGkcdarNbYh2G5CVHA9coi09S5rDkPh0H6MgZs1asCWIQzCCfNLjF1FZGa5CV2vIlbVpJh4PzmFrajGjNtQXyGrofy5vlPMoC9edHQAOHbdZZS4xEMSKFc5QGGGehSc/ibGsUKxco0nMctUQG+hmJpl2eedY5/Q+HBz3DPZzdnD6IeeXO6Qyiy+AvHcsp01HHvrCnrdaW0BP6yktOb0Q+pp3pWWltkVfyXLSOr9U53ks7PrPiwfMtmMQyUx7EeyWdqzKwSchbmn75y+v7T9Qix2n+0lM5/RPzkd3LDSLE59JzRrg16pwL4ut5grv6ilKKewsGNbujMkrHKe3SGLsDfeLlkN0bW04JC67LZiAvOZ2hd6OdTjvfygOdziBRKU0hf9InQzIsn68kw8gqv1yKvls6UBPlM5XdXF7Yp1oHX/VhQCSXdJ9jKdXkaAq7IRr49DX6JZcIZCJDDIKB0axpjIyr/uneVpGGWj8CW4/sEkAlmJVL0KeBsZL/lXvP14zAeiCAPOZ/DmhMjrcUzJChlqKkUwxzckkGJKdE1EGh41x6nzylzFInkHekpFJjzj11yIfyz9HNNRkTOtJfu+TS0mPbXZeDgIFIO8/pwyojxXAsNsIdGjBWpSRepwaX2TQ4Ey11EK1D8lKiYeg6G92VjG3EulbPKA9pXeER+ZecJ9EXHSVwi0k41jAQrbm2QF5D92N5s5xHWaCe+rF84X0f+OB2S8lKeYOhlqNNNYNBI9ItQQTNNEmn7Ipegi2MplG/0pR9PZse4ygmM6+o61QpdlLTzkRahpyz3KyzyMe0s5vmM/S/RV7JY9E6vlbn2r2h+ufut2BSK7N2T+UNlRF1TMpj6amajqEcAiXYSgJ8s2yeq013c7NDRL+OpXpEDGr6WO+nulj5l44baZdqdgf6VIchfpTqoutD5ei53FE2A503r6+hPEp2SeVOIX/SJ7XONeUpeDKrDPMu9kHLTuBRTFE+0/YVn2s5x2Y88eCn9famJMeqb+k+5ZTkaCq7IRpSHzPWUTIwb0Aj5pU7r8m46s9GpQxs5ZL4lpNR+dBsKF8aPCRPvvjG0qxcHrkyfc0IrBcC+Jf5nwMak2MuBTNkqKUoa8q6pIhgpmYHPPQRj+6nmjHdLPfDaOBk5RSRRqPSWRgsQaFTMDTqXgOPqXREfXEWiABjJJluy5RZjFkpyTjk6E3f0TT6iPUU2Ah3aK8ZbvE65aGc2xaHotXRSeue/mfEhQg7e3087+hj+1FALTeiHjljOwvWqmvEGhr0+dIhg8izWpqS4lXKO9ZxiNah+zGvec8JCrCLPetoWW6BXOfWwufyj7MzctPlc+/UrtGGNDuDY61N1fKJ9xQgoV6zzNLQco84jVm726OTcJpqX9uJNKTn6mDiTNU+o8t7LLHjk7s53dHaptPyc/9b5JX3Fq3ja3Wu3cvVeehaCya1Mmv3VPZQGbWAhvTU/R744KydlO3ErhIgHNL9oklHDRzURkr1LDOjaGOpTm7BgDyEQ6pHlX/puB52aR67E+uQ2pMS7fOWU8qP67PYjJyvMUseU8hfiz6Bphi4Kvkv+EksNzj73PP6r50cfOhh/SxOlgEj+/yQs5ha5TO+wzl7Z3z6wot6W0kd+MoJ+42onJIct9RXbSGVo6nsRgsNkqO0Pac4DP2fR8ZL9Y9liW+pXSSAgd8GH5DPWpLuSPOoveN7RmA9EMgHMwhyOKAxOd4tCoZCWxRlSRFFx01GYeiYU0QyfDhXcbqkRjqHRt2HwCOooWh/pI9p7RhQNrBMk4xDjt70WYw1+UZjNgU2wp28Sw4BtIjXqUEeW4e0nrX/dLCfdMih2a8/wFctJcgZ2ynobJFj0V/CS9cjH/WOjkO0Dt1XPlMcUahaCz80/ZfyeH6RszNa6xzbTmnaf5rX9666uneE45p/dshnj4DY5pHF1uBPLGMWvqrd5nSH7g216Vh26bxFXnm3pW2IrpTmyIuIY+08zUN55+pcu1eqd+16Cya1Mmv3VO5QGRGzVG+LFzX80ntpHqIjd5QtyunZ9HnJdPpsCwbkJRxSu5OWk/5XuamcpM/xX/Up6eQxdof8VYdS/qJpbDnKJ3ecAo/WPKaQP+UxxPdaOyDwzYg/gx2pvPP///7jHftlh5zDo5ha5ZN3sHl8Sl77sKVl4QNSFtdL9Wmpb0mOWvkCrapXrl200KCy0vYcsaudj5HxUv1jeaX6RTlJeR3f57yUR/qc/xuB9UbAAY31Rjjk36JgeLxFUZaUCOsSGQ3FGDCi9MGPfGzwR5AitxEaayHJRyPscS16yzrJUPXsKcJHp4cRDmiOkfnYCdLLMg4546JndNTaxegUTYGNcAeXmlMrXqcGuTZSLNp1zNVB94aOcRYMMwbAgU4jNLOBJRF/OaY5YzsL1qURqtKsixztWl6T4iUcIx/T94doHbqf5jf2f5zSOuQMrMLsDOHRopf0LM4xS9IIVuhrQ8gcs8K4xj4jzGrRcpbaOl3lmR5naUu1UaTWNp2Wn/vfIq+814Kl6Er13XrrMZU7pONy9c9da8GkVmbtnsobKiM66Knelp5iE9sWe8kzuc2yRUt6LM26SJ/jv6Zvpzq5BQPeFw6pHs2VFa/N0pZqdmms3Yl1qOn8KcqJ9U/PZ7EZJTxa85hC/lr0CXVk6QFLENK2jW/H7EKu8yOoccRRx/TLbdj4keUmzKyDJ9xHzmJqlU/ewR5gA8iHQRX8VGaPMlNDX/0bqs/QfcpRW0jlaBZZr9mNFhokA2l7jtiVzsfKeKn+sTzxrWZjUl7H9znXjJc0j/Q5/zcC642AAxrrjXDIv0XB8HiLoiwpIt6XgWQ695ikzRo1VVabhbaMPM9TLsL4la9d0o/qYuzYII2N0pRkHDCGOIm1pA5yuuHpWGyEO/SljnGkR7yGlzHF93GEaklTUVODXHtH97T+kb0P6DTmUktAo2Xdt8pS4EtlsXEYONXWcPJsnN6YyqxwrGEguSgZ1KH7onfKY0sbRt5XYXYGuECrlrLRhoYSS2dop3w6mM4kSc5hOrtLbZXA2CyJDfnYhwcZG2pL6iiySS3ryGOKbbLWpuM7pfMWeeXdFvkQXTm5Xk89pnKHdFwJg/R6Cya1Mmv3VNZQGbWAhvRUaiuU99ijOlCzLDNM20gLBtApHFK7M1SHmP9QW6rZJdmCee1OrENN509RTg0T2YwxvobyyLXfWPYU8id9wsBQbbNN6eDUrmtvDerLXkcEm9MU2xByFlOUn5oO1cxfdAs6rLR5tupTkuOh+9CmtpDK0VR2o4UGycA8AY2xMl6qf45vORlV/bD72P9S0pK6XB6ld3zdCKwHAshp/uclJ5Pj3aJgKFSKhGMpyYDklIhGzNOAQCmv0nWMDV8PwPiwn4M+51r7okApr1mua1mLAil6V8YBelp3i0+nx4/FRrgPOfvidcpDRqlbdryP2KcGWXiUjnEEt7b+UXt05IxtxDrFMJYbd+anzjHpizJDo+8KlOFMxeVN5KWgS+rgx3JUj1xb4DnVpXQ/5lU7VydyyGmMjl8NO31mkXpPsXcGMqPPV7bunRFH7GoBhdpu/ilmqlf6+UnxIZVntZVUftJ80/+tbYn3NNsspxNb23Rafu6/6pLWMX120Tq+VufavbQeLf9bMKmVWbun8ofKiG0y7XBJT6X7RSnvscfYieMrE6UUZ0Cmm3G3YEC+wiG1O6Uydb21LdXs0hR2J9ah1IamKkd1zx2lq8b4GspjyO5MIX/SJ0O2Vj5c6ltpFlG6QXzEpjbzsFU+W4J7cYCjJMeqb+l+TY5aZZ08anajhQbJQM7Hitim51PIuHRBqR1RpviWk1H5yrWvLZKHvpyTyyOtl/8bgfVEIB/M8B4a64K5IvFDI9YtirKmiGIHsdZRYgkCmzC95vVv7H7/hz9k6yxlxUjrE5745D64UXPKspmEiywx2f+ggzsMaulTUApopMZVxgEnI+0shSK60z/0kX7T0txMkrHYCPd5AxrQyWc56cTmltWoHmDAWlLKqRkkPR+P0WCXOtQEIphiTf45Yxux5nOipVkeGonPYR2DHWysl9ucEgXEiBB05AynRtYZUYKvaWL5jL7AUTKoLU5Umm/uvwIn1LX2+VFthFnbOJd66xvwLV82oUOm6bg52rh2znnn9zIzRF98Hzr01SLkIc6I0nM8o31BhhxmBVVyQRrJVCrPcrw4zprkoNfakvbyQMZyuqu1TbfQtio6vlbn2r0WDNJnWjCplVm7p7IkQ6ls6X4toBH1FDOmkPdcYuYCM4JeeMJLuuuu+0XukeI1dYzQVeisXGJzXHRYTm+0YECewqHW0cuVzbWxdmkKuwMdQ/IyVTklHLguXYXOmNfXUB4lu6Typ5A/+YzQi13JyTDlyOanATMFVdJAh2jkKL+KMlJd3SqfmglS28hZ7YBySnKswYXa7AG1hZxOmMJuCPMSjVGOcj5WxDY9n0LGa/VXeeJbTkY1MIEtL+1xxXIT7YWSy0Pl+GgENgIB9F7+5xkak+Mvo0FHVZ91ZGpfanxaFGVNEZGfOiDsTM36xNiZpMx3v/fUTrtW15w4GSCMC7+awWsBDEdw97327vP61/0O2G7vDj7jqmnkrLdHsSvJQUDBsmkUnyi7/Irv6naP41nnnLf2BRU6arHePDgWG+EOFulI3xohA44lGNCJJY/007XQR8cUJwqjzzM5gxzLyp3LmBGMwEGIibWwWj5A/jljK6zZf4MOMljTMVSCToIuGDHyYP0tIytpUmAGnr3k5a/aZoopvHnjW/6t74RzH4c6TVFeKIsACu/xg9c777ZHv/cKnYCSQY0jpM864sjuxhtv7OUgN602LT/+J6DAZ0upb6RFz5DvO9598homzJagg59L0VmoBR15lzXMdNhrOCuQwDOtszNEV3QgmX1C0E+JOr3sla9Z21i2pit4R+ujczSID1GHIEfaawNZmTXRUSXYSr3TtkRe6Adkl/ulT862tukW2lZFx9fqXLvXgkH6TAsmtTJr91SW9F1JV9YCGuShICT6DnlH7pWiTp6nfZFPdPzpVMZNr8n/3z//he7eO+/ay2lOb7RgQDnCodbJUr3S4xR2SeXPa3egqUVepignrX/8L/s3xtdQHiW7FMsbK3/yGW99u9v3fh12Nfo+0eZDT+oT6Ot1yPfRxx2/jd1CPqNfxTPgH1OrfMZ2iJyne7dF/49ySnKs2QPYRQY9oDH1PyQjOZ0whd0Q5iUawUcykPOxIn65c9E/b1vS+7n6qzzxLSejYKolsfRZ6EdEnwkdhr+AzKE3c3moHB+NwEYggMzmfw5oTI5/VKIoa365qfQtirKmiCAcY0YnE4NMOQQvcJj4xc039zvwoOyorCofp8GSTxrZ13OzHGW8yQ9FucuDHtIvbYmfEoVO9tOIScYBxYlBw5hRP97j+Tvf4959XcmXTgxOZC6NwUa4U8a8AQ1oil97yNWBgMd7Tjmtr0/NIOXqx7XoQJP/jvd7QHfgU57aYw3m/J7+rMP7/HPGVlhz76OfOKPHGqOFcU2xxqjlRvahA+VCJ5d3wSzKoQJq0Hfci07cxgGL9YryQh7xx4gnm/QhEzWDqo623iUAguM8a0Imqb/yEe+i7HKvJn9gMsvsDDkm5EunneUfaZpndobygB52t0cmVC90RFongmCxo6f3dVTgBRpj8Ev3KUcOEvLNjJcXveRlfbmlYIPerR0Z8VagSfyAR5F+/qf6RHm2tmk9Xzuuio6v1bl2r1b30r0WTGpl1u6pTLWRkq6EBu4h3zm9neop2gIzBFNdh5yVZliIltIx6vySLi3pjRYMKFc41DpZJfq4HmmMbUm2dcgujbU70NAiL1OUU8NB9m+MrxHz4LyWxsqffEb8M23uKVuLHEu3c2SWGuWlKdpI3mV5HrY98n6PvR7ZtyHkLKZW+eQdDXLQFqHnwQ97RD9rV/qaEX9tXFqS48h/2ax0Dxy1hZJOGGs3hHmJRuoqGcj5WBG/3HmsI21xVh9uqP6UKb6VfCf8OvoIwhi/AJ2IH4gOY7CL2S7Ur5RHrm6+ZgTWAwH0Wv7ngMZ64N1dc+21/QiqOng5JdCiKIcUEcQTTWUmCIZCCklHNihjFkdpBDlWXtPzUKrzjKLGvHT+mc9+rp+lQJ6iiSO4MLobR7D0joyDMGMzIkbo4/sYSDZTYkSilubFRrhTZs4xVpkyJjVjR6ePZTwpBns/Zt8+IEH+lFMyyCqrdETW+Gxrmj/y8IlPfqrnJfnnjK2w1r0LLrp4bqxRMOdfcOHa1MTIL2jRbKVSPXifNb7QonepEyOdYChaJRe5fAhi4bDpU7Xkkzplufdy15Atpp3HvEQX9eELHrV2NcvsDMpnyQwzdqhzburnmNkZsX7f+Oa3ukfss29WXoZ4hOOD80v7IwBVSgREmC4s/QdutOFSsKGUT3odntDuKV+84FjTJ8qjtU3r+aHjKuj4Wp1r94bqXro/hEmtzNo9lSd9W9KVQwEN8qnpqVa7InpKR+wa9i3KP3I6lH8LBpQpHGp2p0Sbro+1S2PsjmgYkheem6IclZceU5syj6+R5pGWkf4fI3/RZ8QevODFJ24nYwQKsMOUk0tcZ1nJDnfbcTsdSqDk6u//YC0omNrOVvlUuTl/Itr0WB+9kx6/c9nl29irnXbZbZuvD6ktlHQC+Y2xGy00SgbkR6V1GPo/RsZb6i++1Xwn5InZtRqAkn1FTvDLWvIYqqfvG4EpEECH5X8OaEyBbzEPllKgCK6//obiM1PdgMF8dos9KxhFHVqLn5b7qbPP7df15vY4SJ+d9T+O5mWXX9Gd9+kL+k58XGKS5iXjEJUvgQlwxEASca+9n+bH/7HY5PKc9RoYiDfwCZqmTOQP3wmQ4FDHaYOzlDMWa8pC3sfUlffh96x8Vj2pA/I/axvQ+/Eo2YGe9W7LBGRKs2AiTVOcIy/rXSeVMQUfYp3BienT8+qDmNfY81XS8WPr2vr+RmLSSlPuOfQMdonp7MyIQq6mTOCAvUJOkdep85+C1rF2aQq70yIvU5ST4rUevkZaRu3/rPKX61zPyz9sJH4C/gJ+A/msR8J+ov/PPve8/pOt1HmeBH3YqzF0LpPdyGFA3abw4XJ5t14DI4Jay6yzWuvi5zYnAuiU/M8Bjc3J8RlrhXBo00BGQBeZck7GIulx2UbACBgBI2AEjMDmQmDVfI1cQGNzccS1MQJGwAjUEcgHMwhyOKBRR26L3NWGgayV++znPr/QWq+ak7FQsFy4ETACRsAIGAEjMDMCq+ZrOKAxM4v9ghEwApsMAQc0NhlDp6jOd6+8sjviqGO6gw89bG2fgNwXQ6Yoa5Y8Vs3JmKVuftYIGAEjYASMgBFYPAKr5ms4oLF4mTEFRsAILBYBBzQWi/9Sls7XB7TxD8fHH3DQdp/XWgThq+ZkLAIjl2kEjIARMAJGwAjMj8Cq+RoOaMzPa79pBIzA5kDAAY3NwcdJa3HJpV/vv6bAFxUw7PNuIjkpUV3Xf9GCb6Tzy30WcurynJ8RMAJGwAgYASOwtRDAv1glX+NdJ5/SHX7kMR1HJyNgBIzAVkTAAY2tyHXX2QgYASNgBIyAETACRsAIGAEjYASMwIoj4IDGijPQ5BsBI2AEjIARMAJGwAgYASNgBIyAEdiKCDigsRW57jobASNgBIyAETACRsAIGAEjYASMgBFYcQQc0FhxBpp8I2AEjIARMAJGwAgYASNgBIyAETACWxEBBzS2ItddZyNgBIyAETACRsAIGAEjYASMgBEwAiuOgAMaK85Ak28EjIARMAJGwAgYASNgBIyAETACRmArIuCAxlbkuutsBIyAETACRsAIGAEjYASMgBEwAkZgxRFwQGPFGWjyjYARMAJGwAgYASNgBIyAETACRsAIbEUEHNDYilx3nY2AETACRsAIGAEjYASMgBEwAkbACKw4Ag5orDgDTb4RMAJGwAgYASNgBIyAETACRsAIGIGtiIADGluR666zETACRsAIGAEjYASMgBEwAkbACBiBFUfAAY0VZ6DJNwJGwAgYASNgBIyAETACRsAIGAEjsBURcEBjK3LddTYCRsAIGAEjYASMgBEwAkbACBgBI7DiCDigseIMNPlGwAgYASNgBIyAETACRsAIGAEjYAS2IgIOaGxFrm+iOv/mN7/pfvqzn3U333zzJqqVq2IEjEBEgPZNO6e9OxmBVUTAMryKXJuf5ptu+mN37U9/2v3u97+fPxO/uXAE3G4XzgITYASaEHBAowmmxT50/fU3dMef+NLu8COP6b7ytUsWS8wSlf7lr36tu9Pd79Xd6u9u0x17/AkdwrzZ0veuuro7+rjje97D/9zvdW98c/edyy7flPXfaH7SvsAYTO2IbjT6+fL++Mf/7p579PO7v/nbW3X32Gnn7pvf+nb+QV8djQAyj+wvyta86+RT+rI5bqa0lWRY/gp2C/u1FROB18ft/6ReZz3k4Y/qg7FbEYdVr/NWarerzCvpnEXZrVXGbjPR7oDGCnDzJ9dc291n51174/jxM85cAYo3hkSwoJPD77H7Hdj99re/3ZiCN7CUL335K90d7nz3tXqqvumRoM5TDn1m94tf/HIDqdt8RUmm9nncEzwbYEnYS+cAfiDzyPmZZ52zJJRtPjIi1ouwNc949hE9nzluphRx3ewyLH8Fu4X9mjppxJxyljXoLAzQWTvc9Z7dVy+5dGoYevtEOT+/7joPZsyBboscbaV2OweES/NKbG85u9XC66WpjAmZGwEHNOaGbuNeHGqsG0fJcpV0ww2/6p539LHdnnvv011w0cXLRdxE1MSAxgtPeEn3wf/P3nkG61JUe/9+fr+9X27duvXesrxlYbhaqOhVUVFBQUAFBRVFEZCckQySMwoSJItIlCCgGJCMRCUHyTmpBAWPwjmHE+at3xz/m7XXWd0zz8zz7PPsvburnpp5Zqa7V//X6tWrV6eLLpn0YzSVzt5/vOVtdUeAUSEa4RK6IVAcGt1wG3Wsyy6/olpz7XWr7+53YDVnzpxRZzdr07cGfGQYjhqYmerQALfZIsOyV0bl0FD6OAuWhYy2qQMY1qefeXa12ufXro45/sSK5SfDDj849od1m1+c792QbStHs6XedkNxPGI18bLp/XiUolDRF4Hi0OiL4BTEL5VxCkAe0yysQyNnvF148c+rt7793fUI9k/Pv3BMSzP+ZBWHxvjzqFA4OgSKQ2N02M6WlGWvzGaHxlTwujg0+qEsOR1nx1i/Es6e2E28bHo/e5Ca2SUtDo1pwN9SGacBk0ZEYluHBms9t9pux3rE5ju77jEiamZ+ssWhMfN5XEqYRqA4NNLYlDftEJC9Uhwa7fDq+lVxaHRFbkk8yWlxaPTDcRxiN/Gy6f04lKHQ0B+B4tDoj+HAKfzx/geqHXberfrIJ1ap/utt76g++NFPVFtuu0N1x513hWsh21bGf772WnXm2efWU7Pfs8KHKn5M0z7j7HNaTdMmn0MO//5S8Zky+corr4Tl5OSBL3/9m9XHVl61uvzKqypoOOHkU6tVPvu5esbA+z/8sbps99x7XxjfPiT/gw47YiIu9H/xK1+vmH3AGjgffN72vX/Xhy6mi7LUA1qWe/d76x9lvua639X8OuW00+vyMx1+2KGtQ4N8ZeA07Sdi5e8ty72rlkPkER6hEHxggz74+7UNNspubvbiiy9V63/r2/W3x590ik+m/m/ztrJ/4823hHkTaZi8RI6uvPqa6psbbVrXD2a1rL7Wl6rzf3ZxLWN9HBp33nV3nRbpcS+ZW3m1NSfV81xd8Gk8/Mgj9d4oyF3K8Opa75FX+Cq5ha4NN92ixoX80B0nnXpaXY6QmebhMHTHX154odr9u/vW+VNW5FlBdQw96ffK8e9UDnSP+Nu2HI889li1+177VCt+8tPVf751ufrKUi/0n+RQ/BVtg1ypX8j69jvtWn3yM6tX//2O99T6H3m89Fe/CfUc6Xu5gB7oYm8l6hH0QveTTz3dSA71FD2PXLJUDZx22m3POu4wHRqpup5q5yC8zZKTrvIuYIYhq6rbg7RzXk5FD1f/bpxlGHpz9QR8kcsmh8agfFAdwG7SEktkFx3GDwyjMGg+URpdnnn9atOw79AJ2BLYFNg86N6c3aO4fIueRMd99FOfqTEgDfRUFNAZLFH9zBpfqPMAO76nzUstiZHOA1/su5yOFn+kH1VHRt3+DVou0dlWjnzdtNiKF1wH5aNNh/tcnRIfhK2Pm/uv8iruKG0K0YHu32WPvWo9oDaGNk42s77T1dOo5/ZKu0/7H9V16RxvIyndtrwmP2xE2mLopY5AP/qsbftqaS73U4sAdTD+VRVdG3o3tocTf7skjUWLFlVv/hZXixYtrhYtXlwt/Nfzf5vaZCut8AAAIABJREFUoo1fbjQaRxx59ERjTOWzPzYL2+eAg5dqXFKV1ZaQnf9XXXOtSenZtGlUUiekwFQcIeo02Xi6/8CKK1W3/OFWm2V9b2k765yf1ptzKo690ujimEiFn13y82z+2+yw01JOGZs3jbIN9l0fup56+plqnfXWD3GFXxgIRx1zXP1+FBvZtXVowEM6g2CeoqNJ/lDcdJK8cXPX3ffUp8nQcfr1ZZdbmCfdY/DwDSfPEMeGprzBEqdKtD/CsHjJnis0iORlZZN7nnGSBjLK/y7rksUrDPkrrro6WRfAGT3gcQYvmwadcLC0tHo571PvbedRS5ZsXrpHr6ROFhmW7vjhiadUn17985PKah0actZFfLHvfnLWObWBL9rtFUcfMhAFygHeKR0IbdffeFOrjlqUPs+QbWQ8kj/RucHGm4Y0WrnAueqxUnzk5aZbfp8iod5QdfkPrjgJZ8VFx191zbUTG7B6WUsm6l60qetRO0cyViZdsvXfPvI+LFnt2p5YOcVxZIN9N84y3FRPPvuFLzbWk658UB2QvPorGNrQNR+bRp/7nCzr3bY77lzbECmdwKkNvp1QXF9+/tPxor30ASc+9TuKwzNsHGwdH2zb26SjxZ+pbP+6lEt0prDwcmTrpq+34kUXPgrrpjrVt+1ReeHLqG0KysIAKDZOhC9yfugRRy4l05ZG7qNgne2eR1ZObbuldCNaeObTwT6gDU59T/uKnVvCeCKA/MW/4tAYKscAmc4vFZofywPY+ZqK+MCDD9WdKZQA7/iO7xVSlVXvH3v8iQkDF8cFzgHi8OOeZ1RQFCPf+nDJpb+c6ARwxNi1111fbyzJDuLc84z4a627XsXong2WtjXWXqfCWGZEn8ZR+eNRJT4N6t333Guj1/f2+NVNttymPoIULyn542hBERPfKx+bt1ViJGrfdaUL5UYniLyhAccF+JE2vNtwk82rt7/nfdXaX/5a/Q2N27CDVci+jDYvOjEoW+Qn2kPDyh9yRucduaMsTfIHHygrOOA0sbIpGngmhwqebUZnFJryZlYODi/Sjwy4YfASo5C0yYO89tr3gEnl593b3rV8PUOBb6KOs8qTuopXpKPZPId976hJMrPx5ltN6AAafh+UBo4hRuCoT8x2gUf8nnv+TWO1b72XMbba59auZwlQv6nv4E39pR6r84tTIzJ4h6U7VvjIx2tnwoGHHl47wyjbI48+OgFPzqjUuw99/FO1jgFjq1vhLfUCvsL3SH6tQ4eZSBaHH51+Rl3/GeGijqEL4NMgwR7/By3Q9OBDD9eGHacUKA9opD54GiUXyBb63Op5+GLj06mMRmmlI8iDb+AdvOZHO4GeRleqvcjpm1TZbV2nnIO0c6QpmYx0aV95H5asdm1PJKeRbtG7cZZh+NOmnnxl/Q2y9aQrH9Dhz//pT3XdZkYScox9IBn2nc2u+aRke9DnOVnWO+ocOta2x7ItKB91yM884YhKyoye4JsvfXX96qGHH6mfUe/9bFZb73M6HlvHO3zJBycJ+TTpaKujpqL961quQeVIdTOqt334KHlqU6f6tD3iy1TYFKpz2JjYg888+1zdliFXRx59bG17QQftjQ2iMde2dnFoDMJr20ZTJ88+97y6H0SbRv3CrqAeMCvviSefsuSX+zFBAF7Fv+LQGCqLVGFpoLzDgoysIcj0QaafKdhGxRuZVEL2TKCiYYhHx3Zi8DJ9nG+8QT933rx6VJ5OXtSgQYMdoffeSUtbanQQJ4ZGB4494SQVa+L6/R8cU9PmO8L64PwLL6reufwKS43g27w9LvZdV7owJOBXKr7tJINtZISrDF2vkhvS92UkTZwNLJcQvnSUoMsHpQOfwRN5s4H/eO8pb+R4wknCu5VWWa16+plnbdT6HkNTM4TO+en5k94r75Ts87Eadej77RVXToo/DF6SJmnzIy8fbP0D68h48XH8f5WT+Kl8rMz4ek56No2UA5Lv+tZ70pAxBr2pum+NRkZWbJgK3aH8ckal3lGOSP7hLXqP959adY26U6R0udIJoIOfis83Foec0WXTtfcYQEzvZhlLpP/59sRTflTTwMkITO22oY1cSMapZ/5oWxyMG222ZZ1+itfWYQAWkb6xNEX3ojNV1209i+RfMul1aV95nwpZbWrnJKeRbtG7lAyOgwwPo5705QMyZ9uDlIwOI59Ivgd5lpJl0tC7VD3x9dUvsyMNyUwkT6LTdgKxE+1Ag77BgcKyZ2jxzhOLdcoOUjqq+8jwqNu/vuWCZlu2lBzxXQ7nvnwcRp0S/qmr5csobQp0FDOp4X808MV7nBrMgmSgZ8GCBRMki8Zc22p5Dk9saOJl03vSop9Em4TDJZqJjFMGZy3OVGYGlTB+CCBj8a84NIbKrT323q+u6KlOO5kx+4Ep/6w9Y52xQq4yMgUXzzkzBZgSnQpUUCpqZCwTh44xvyhYReIdEpY2RlejYBWdN1T5Xo0CypBvfeCZH3XgG5u3b5Dsuy502TJHI6aiEc8t6/NQ4lHZ9F3XqxQ96ed+OKzAIMKJvCV/jJjSOYgCxg7yST6n/vgnkz7BwYayx+jBC++D5CvqpCjvnOxDkzY19TT25SXyw1R/ypWjwTplckaiL7v+W175MugbrjYfj7PSAOdopo3SGUa9V71r0h25jjb0DEN3eGeJyqlrzqjUuw+vtPKkWR2Ky/Xm3/+h+p/3fTCcXYE8gzf1mPocBWRII6I5oyuKa5+9+uqryToq3i//gY/Uo9A2nt4hw95hqO9IG6cJ33iDT/FTxprSEK9Jw+tUfZO7tqnrqXaOdCWTXpcOQ95Jfxiy2qU9IW/JaaRb9G6cZVj1hI6tX1IomaCeaKZerp505QP52PagSUb75KMydb2mZJn09I4j519++a9hFoxiUw9Ty0gkM5E8KUEtA43aZX3DVfWemZhgpmCxbtLR0jHQPOr2r2+5KJ8tW06Ocjj35aPq1CjbHvFl1DaFtZkZpIwC9ik6wgfRmNMZNn14YkMTL5vek5ZowE7AXohCynaOvi3Pph4BZCv+FYfG0LhBg0XDhaJPGaO5zHKVkfRIN9eokba8j7nKmqKBKdFadpJTJH4amU1PjYI3VPmGTh1lwFD6zW+vCBWeTUv3OVzsuy50yYBmivd1v7tBWS51RcFttvV2Nf1R2ZaKMOADKVnwafoxyhLNvpD8pZwRliTNlvHOJWuoemOFd3IYcOW/gvKGdt951ze6qnH3s0D68pLRbhx50NBU/+is8F1TfRLN9mp51ZSPOn4eZ6WRa9jJcxj1vo0xRl6qC6PUHTmDEhqkPyK+6B2deTr1UZAMRbiKF9TjnMGCHkAfRGlEeQ76jP0rUulLLpp4IJ56PS0dm+tAQS/LfOhUUweaeOLLZ+t6k/z7uPov+r0uHYa8K4/UddTtnOR0usrwVNWTHB/gnepyFxm1vG/Kx37b5T4ly6Sld17/23xU5/s4NNSe+XbZ5sO9HL44PrAVFQbBWvS2aWclS778SqNJx/YtF+VrW7Zcve3LR+EwyranLabD0LEqDzMh7aCs5Cl1bUPjqB0a1k5ELtlstoTphUDszMDJURwaQ+NkH2cCROQUrzqg7JjPdOvUjwrKSGzOCEAYmAJ32eVX1Lvgb7HNDvUUbbtRnjeUc7RZANUoeEOVb8BHyxWgjzXcNFhM87ajBTa9Jlz60qXOi2/gPQ38V+MalS36fpBnUvQpvrGEgSmjdm8GP6Vd8sfo7Le32DopI8jO57/0lWSHPjULgyUoOCGi0V/l3eQYAhPKwei0N2b68lKdtKbOIDS0bdQjHopXnv7oW3UwfeembRrDqPcyxprk1jb0qU7uKHUH+El/eLya3gl7yZDnjXVIpkaVlIbkyKeh922v1Fn2zzjvgp/VM6dYAmJ3YY/SbysX4qnX09JRvgPhabZOiRSvfRz9V11vU88Ux19Fv5fJYci78hqlrEpOPf3krXfTUYZHUU+68AEcVZdTbaL4rGvXfBS/6zUly6SXe6f8VOe7OjQoN/UdnGjXU7Yhz7ELaL+97hkEa9Hr01B57LVP+zeMckFL27Ll6m0fPo6iTlmMdd+WL8PQsdoPD5ljAI2BUOxRluNFS6EHoXHUDg1oYV8z6IZ+lk1tutW29V4a2gtE9JbreCKAboh/xaExNI61VSipDHOKVwqVCtj25w1VFA1HuzLCH6XB0YJUbt55QzlHmy2PGgXojcKjjz1efevbm00oE9HB5kKsW4uOuszlnXtn80/RBUbQkDIm2qRhv+l6L9mBFs83myZT+Tg5g+/YWI5jsxRsGsK16RoZ3erY+qmLmlkRLWdS3m2MHPHMf6vnTRikeDkIDeJ7VH7hmboOI5+2aQyj3iuNVJ1UOa0h4WVwKnQHdIi3EV9y71QGyZCXLVs20smFVBq5OPYd9Yej36RLfR3EEUDd8jSSxqBy4csyDF7bskT3bWmM4upZik4995jl/i8LWZUsRnVK76ajDA+znvTRGciJ6mFTe9A3H8lk16tkNpKF3Dvlp/qUskFy8kQalme5emLfed3TFmvyE70+DZXHXlPtbJs0hlEuaGlbthzOffhoy0EeuSBa22Dr02mDKXFUFisPTfdex5IOTg3N6LbxafcYJI2OFm9DYw4v4UN+EU1N74UZdjQbbGszdEs/M8hxzkT70Ch+uS5bBGJnRpmhMVSuaMp2F2UEIbnKqA1B6fRznF+bn93UES8xO2yr4uLUYA8PRqqZIcG0TKZeYYTxjVe8OdosiGoUosbdfsf+AuwuzBQ8zoAWXShDv5ljLu/cO5tfii6t0UwZEzYNebabymbjtL2XogeHSFHbdOzeDPBPQTMfmCVBedvICNPfkQ0fWEcLLZoiyTcsQeFZtMZWebeR/dQIeF9eDkKD1i1HnQ6Phf8vXrUpayqftmn0rffQLgOmSW7t3gxWBqdKd0Cr6mnEl9w78Ugy5HnDDDCd4EM6uaAZCD6NXBy9I65moWnk6pDDv19d/ItL69NrMNZyvM+9Ux5cxVNfFslLV17bPFL3fds5S7+nU/RP53YuJ6e5d8J7Wcowm1Iykwg972VL9Omaqyd9dQZ5CIdcmziMfFSerlfVRS/LpJd7p/xU51M2SJPMWJ4xU6NNu8/ghN1Yvg3Wnt42+rFP+zeMckFz27LlcO7Dx6lqeyRHTXzpq2MlB1zpWDJIyUwc9AYntlFf+UWby7ahcSocGioDztBb/nBrPfuaE2bsIERqU23FLddlh0BxaEwB9nQ0WVNGZc7t55AiJad42aSTdP1mTqm0/HMZoRjZ7EAcbSrZR5EoPzUKUeOub6Irm1FixFJGv7FVDpfcO5tPii7h0rRUAsOJzj30DVo2S0fqXoqe9G1nMvre0kK5FCR/TCn1p9Tom7ZXNp5l6ZI2r9NmoamNJZU39DfJvpb5sMkt+Cv05aWN30SDnFNRx1n0pK7iFXXJnzLh42gJgK+3SqPJ+Ohb76FHxhgNdLSLvmiWo8nLj+rIqHUHdKieRnzJvVMZJAMRrlr3Kyed4vir5DNKw3/r/2uKNcZcavPmHO9z72xe4qmt/7wXRrl9RvhOndE2+sbmy/0gdd3H1X/R73VpX3mfKlkVzp5+yqd301WGxZumZUvajyGqJ335AI6qyzkZHUY+ksmuV+EVyULunfJTne/q0CAddVLRcV1CG6yVruidivavb7mguW3ZcvW2Lx+nou0RX6L6KN5x7atjbVr+no7mbXfcOdEP4lhfe0RwGxr79EPa8trTrf84OJi5IcdGNHinb8t12SFQHBpTgL3taEbHGYkEnAnsYUHls3tH5CqjZhL4zr7SbLrS8aIByu0VYddVo9xtyNFmv1OjEDXu9rvoXsrOOxdyeefe2TxSdKFsUboYTeNyykmTQyOl8O1IQF9FbE9CYRaIjnNNnR5i887JPjzR7A/f2PXlZVsabNmiToeVm+hecorM5MpqZQvHhg1Ko8n46FvvyVPGGJ3s1KkFfCcey4kleqdKd5Cf6mnEl9w70SoZinBV+Ua507wM8FxnMOcwaSsX4imY2CB5aeK19snJdRZtuva+bztHWqLftxOifzq3czk5zb0TxstahuWUY6YRzqtU0IkZUV3rqzPIUzjkZHQY+aTK1/Z5SpaJn3un9FXn+zg0xDPfpiqPpmsbrJWG6J2K9q9vuaC5bdlydbMvH6ei7RFfovoo3nHtq2NtWql7LU/2toR44QdNbDoaWEG+fPum+Cmd0PTe5pO6p7Osze+bBj9SaZTno0WgODRGi+9E6lJcKJUbb75l4rm9ufa66+vRb694cpXRdo5yHW9GppklwrGwHJunICXmFYzec+XkDBRNF0WidNQoeEP1r3/9W7XjLrvXU9IwpqMghew3m8vhkntn80jRxTecyY6zB36wUaoPdIDVUQEbXzZ9TxlZukNlGzSo7ClFbdNjSQ4e5KhRkPzlOm04RHBMfG2DjcJzuJWXDNZvbLhJve8JtPEsFZR3NNVQcZieqFlMPq1h8jJHA42tPPBRx1m0pq6WVx9YcaV6I6zoW9WnaFaL0vA6wKfTt96Tnowx+LfXvgeE8kk+miHlT7eZKt0BraqnEV9y74SbZCjCFSfyZ7/wxVq/bbntDtWcOXMUbeLKrApkB6yiNCY+TNw0jcQxAiRjKUq/rVyIp2Bigy0jmwCSnw/Uf+o0ZeTX5ED18fmvuk4ZBm3niC/6vS7tK+9TJauSRU8/ZdO76SrDbOyHXqNN9BtPSxbs0qpIjvvygXzazAQaRj4qU9drSpZJL/dO+anOpxwaGlHPzbrSDEp4xlLeVICfn1njC9VRxxxXvT537sRn0ptt9IHo5dtRt399y0UB28gR3+XqbV8+Wr08qrZHfInq4wSjq6qeMdFmEC/Vl8CG23DTLerZu6kBEjk0/ACqHTSlHfTtE/9pt9Q2+fatSU7b8PoXv/x1XQfYyy/aJ8M6NHIDExbTcj+1CBSHxhThbY3Fj628anXDTTdP6kBwxJE6dBtttuWkCtVUWdWRZQPNw7531CSDHAb/9oor6wYGZbD5NttPUhY6oYJ3e+6z/6R8icsxqjLk+WZQRSJ41Sh4Q4/Rc3bYJu1Pr/756qGHH1GU+soGQupQrbH2OpOcMTlccu9sBim6+AYjmun40Aa2O+22Z8XeEg88+FB1+pln12viabhzS07EGwwKdlAeNKgxgoYzzz63HlWgbPYHPazH12k0dEqQNxtsWRhhY/of/FVgnxR4A510tHGupYKm80ITv5wzjDSs7CPj/jgvTnzQscZ0LGnkbRgGL3HirbXuejW9ngZbR5gFRJmiToelKboXr8CQjXQpE2VT8PUpariVRpPxQZqSrS71nvgyxt6y3Ltq2TnuhJMn6QZkgoYbPKIO6lTpDmhVPY34knsn7CVDKVyFJWXllCXqN/WK+s6eQji6OEloxU9+upNDQ4YcdYt7W/cwnqi/yI2wRg5saCsX4imY+ECHhjz4kZ812lT/5RCFji4ODVvXB23noFf0c/VBPOoi71Mlq5LFiH69m64yjMwyaIJsICc/PuOsSUtUaatpL9En8Ciqa335gEzYGXc432kvoM0ulx1GPgxE7H/woXVH6nfX3+jFsfF/TpZz75Sw6nzKoSGnDbw497wL6vKDgdUt3OOsoM5jH8Az21nke3SdbAc/KCa92UYfiF7yGnX717dcbeWI73L1dhh8lF4D41G0PeJLVB8la7qKli46FhsLG51yUC/tXiykb/s42PzUYxv23v+gOi7ys9uee9e2PnymT7DJltvUMvrO5Veov/HtW5OcttEZtPXUJfL3y++pJ9Qdvee+hPFDAHmJf+WUk6Fz67HHn6g77VR4fmx6idHHRpxUIp7Rqec7G5oqKwyks4wSIg0qHR5Q0rYba9JZ9GmTjz2qiIYNLy2GieLSEVxz7XU7KRKVQ41CZOix+aicJpSBBpyZAlxVJpTxpb/6jZKrrzlccu9sIjm6+O6555+vOzLimb2CFd7qXBpq8IgHprm9CixduldjZPPN3ad4THrwXiPRpCH5Q1aQGZ6BN/KATKUCU8u1EShx/Mh9FM/mjawj8172+Y+jxYdh8ZJNnnBAQbOlwcr5T846p34fdTo8Xf6/eIWsMiUWmY7yIX+cHYxm+mDT4D4X+tZ7ySb808bAyDR8sDKBbDBrJpKJqdAdYKA6FvEl9074SYZSRh1l4xhV3sMf/9tg402r+/54f62TUmkor+hqO/qkjcwxmoVeBXPkhCPiSDtKv61ciKdg4gMdGfhMXtDgec3zk049bWID6C4ODfKkrtOOCUPpmaZ2jriin6sPfeV9KmRVshjRr3fTVYbhB45x6oJ4y2Z/6AsdO4zDjlk6tN2RHJNGHz5IJuxsOtGCzrWhbz6qc9GMR5tP6j4ny7l3Sk/5pxwaXqeAQ3TSWKrewze7WSN8hb82SG+SdpM+EL3wfSravz7lUhnbyFGu3g6Dj6NueyxfuM+FvjpWDhHkBbthlc9+rrblre5P2Xm+3VC9VlrYZuhO/vv2rY2cNvEaebKzQKgb9IX42XrCoLCvJzlMy7upQwD5jX/FoTESLjASxvRjdSBVaelIUlHoQPvQprLCxCuvvmZiJ32lK2VAnuQdBeIyDd4fVQRNdHYef+LJXoqEPNUoRIYe7+9/4MHaUJIDQ/RjZH/pq+tP+bGtFie8s9ffcFM9Usu0TH7MZtHRqLmyYQTQcYDfKPtBgxoj4RFdSR+lyyiNHXWN8krJH+kycwMZQh6agqaWwx8aijYhlbdkPzrOi3TbyD/f5fgg+lLHA6+z3vq1gwF+gUXU6VAaqat4JUOezfEYcbE8Qw5yddGnkcpLz/vUe2uMITf7HnjwhANRNDfJxFToDsoq3kZ8yb0TTpIh8UbP/ZVRph+eeErtfMTwwgmpetU2DZ+m/rOUBd57HcdSOhxGOHahL6KxrVyIp2ASBXRZdCwdOgRnBnVURmNTByZKX8+a6nrUzhFX9KfaiT7yPhWyKlmM6Ne76SzD8EgzipAZ6Qmu2A/sXdFUT/rwQfKlNOgoiQZmvPFcQd90sWtIQ3vaNM1AVH7+mpPl3DulozqfcmjwHfUIu1E6JdIdfEe9R49ZvIQb+id1HKV4ybdN+kD0ioapaP+6lksYS0YsLl6OcvV2WHyEnlG1PZ4vKnvqCiZd+xKkyWwmBkHlOJecNdl5xI3sM3jDchDbNvn2rY2ctuE1Tg3aYisPoj9XT1JYludTiwA8jn/FoTFSTlBxmBZ59bXX1SNafvpVn8yZKsl0aRpk1o6RV5tA40CnkoYL45oRgKkO4ICnlqUuXJcFDYOWWQ1eZMSSFmUat3IgE8gGMoKsIDODBG0e2LRBXJTmKGU/yi96Bj9Y56mjiVGCfUNkOFCnaGxHUc89vYPW+8gY64rLOOgOj8ew/8toksHeNX30AbLHka0sSWqrn7vmF8WbKrkcZV0fVN6Fw2yQVZXVX4clw6QLbxnsQLdhywwqx8PgA3qb/alydk7XfNj0ms5M5IDyuC7r/+gUeNvUjgsvtX0s1wGfYYRl2f71LZfi5+RoGBh1TWOY9XYQGrrqWPLAlsC2vOKqq+vBImS0bWgrz23Ts9+14bW+wT7kN8x6Ymkp98NFAL7Fv+LQGC7SJbVpiQCjqniGU8Hu7M8GobMhoDAYxcDYY8S5hCUIRAbdOGMTOTTGmd5R0oZMY8xyTQWN2C7/gY9Ut995V+qz8rwgsEwQKDI8XNh1tLY/iWq4ucyc1KZb+zcuyJd6Oy6cKHRMdwSoS/GvODSmO28L/T0RYOSJJQPRBkdKmul1jNgyvY5lGLMhcHoBZY5O6ZgN5U+VcboZdMWhsYSTWgrCFHqW3tEg+sA0++132rV24rG8q6yh9QiV/8sSgSLDw0VfAxVd988YLjXTI7Xp1v6NA6ql3o4DFwoNMwWB2JmBk6M4NGYKj0s5OiLAVDNtVso6Vja6YhkM0/+YssnsBK0jZq39TO7kPPzII/UeIltss0PFWkJmZ0SndHSEekZEm24GXXFoLBE7psprMzDW+W67484Vx7RSz9m49YKLLqk+98Uv1zLfdS+cGSHgpRBji0CR4eGy5i8vvFBvsNllSeVwKZk+qU239m8ckC31dhy4UGiYKQgUh8ZM4WQpx0gQYHMknYyhzYH8VRtKjoSAMUlU64lVdk6h8cdyjQmpy4yM6WbQFYfGm6LCSBkOOr+RmeSdqzbOjGZwvJlSuSsILBsEigwPD/d77r2vPoGI5SalvrfDdbq1f+1KNfqvSr0dPcYlh9mBQHFozA4+l1L2QIDp5ozSbrb1dvURdZx+oJNOWH4xrE21epA48qh33nV3vRM6u6FjuMyGMg8KKjt0c/oNP+7HPXCWOjMTypnqb3KKM+/pxHCcKvVcJ52AEbvQl1AQGHcEigyPO4dmJn3Trf0bNy6UejtuHCn0TDcEikNjunGs0FsQKAgUBAoCBYGCQEGgIFAQKAgUBAoCBYGCQGJD0LKHRhGNgkBBoCBQECgIFAQKAgWBgkBBoCBQECgIFATGGIEyQ2OMmVNIKwgUBAoCBYGCQEGgIFAQKAgUBAoCBYGCQEEgRqA4NGJcytOCQEGgIFAQKAgUBAoCBYGCQEGgIFAQKAgUBMYYgeLQGGPmFNIKAgWBgkBBoCBQECgIFAQKAgWBgkBBoCBQEIgRKA6NGJfytCBQECgIFAQKAgWBgkBBoCBQECgIFAQKAgWBMUagODTGmDmFtIJAQaAgUBAoCBQECgIFgYJAQaAgUBAoCBQEYgSKQyPGpTwtCBQECgIFgYJAQaAgUBAoCBQECgIFgYJAQWCMESgOjTFmTiGtIFAQKAgUBAoCBYGCQEGgIFAQKAgUBAoCBYEYgeLQiHEpTwsCBYGCQEGgIFAQKAgUBAoCBYGCQEGgIFAQGGMEikNjjJlTSCsIFAQKAgWBgkBBoCBQECgIFAQKAgWBgkBBIEagODQ+adk1AAAgAElEQVRiXMrTgkBBoCBQECgIFAQKAgWBgkBBoCBQECgIFATGGIHi0Bhj5hTSCgIFgYJAQaAgUBAoCBQECgIFgYJAQaAgUBCIESgOjRiX8nSECPz1r3+rXnjxxQrhK2FpBP7+979Xf/rzn6uFCxcu/bLlk3nz5lfP/+lP1Wuvv94yRvmsIBAjsOCNqvrby4ur+fPj9zPx6T/nLK7+/sriarqqqNdfW1y98tfF1aJF0587tBPn/PT8apc99qquv/Gm6V+gGVCCP97/QLX7XvtUx590SjV//hszoESlCAWB6Y0A9iJ2I/ZjCQWB2YhAcWjMRq4vwzJfcukvq7e+/d3Vf7zlbdWPTj9jGVIynlnfevsd1Xv/96PVv/+/t1Z7739QJ6cPDdo3Ntyk+j//99+rz33xy3UjNy6l/dVvflvtvPte1dHHHT90Zwsd7l9e8EZ1+g/nJ3+/PP+N6pknFs2Ijt5U8JSO8Q8OmFdtu/7r1SG7za07yVOR76jz+Mvzi6uzT55f/7i34dYbF1Y7fuv1avtvvl5d/asF9tW0uH/8oUXVbpvPrbb7xuvVuafOn7ZOGYH9+1tvq979/v+tvvqNb2WNdYyZi39xaa1f0DG33XGnkkhen33u+eqgw46oPrPGF6r/ed8Hq498YpVqy213qG68+ZZOutdnhGP555f+qvry179ZffCjn6iW/8BHqjXXXrc65vgTqxdffMl/nvz/xJNP1e3Bp1ZdYxKd199wUyvH9/0PPFhtuOkW1QdWXKmmY6fd9qyee/75ZH7/fO216qhjjks6kSjX5ttsX7flv73iymQ6M+kFAzH7H3xotec++1ePPvb4yIqmNvLHZ5w1sjxKwjMLAZyKu+753drm+/BKK1f33vfHmVVAUxoG6bAf2+p4E3Wsbqnf070MYwVoVdVtduzU4F1VYelZay/+loEsBoPoJ+jH/8XVosWLq4X/evZv41b4Qs/UI/CDY39YK10629/ZdY+pJ2DMc8T4BRt+X99g4+of//jHJIrlhccQT82+4N3HV161TgMD+vY775qUxrL8I/43dU660Ejn+/v7LOl80wHP/fbccm51w1ULRu7YYKT/ry8urrhOxwDte287t8Zy101fr554ZAYM+VdV9egDi6pdNnm9/nFvA04vyc6Pjx2vaSnIODzJzR657caFE/Qftd+8au40nqSljjMO3p+ef6Fl06T7J596utpky21qR7D0J7o0FTBYTjr1tGq5d793Qt8qHlfy22Hn3ao5c+akkmh8/tTTz1TrrLd+mD554KTBwQ8tqdBEJ+lsutW21UsvvZxKorr7nntrRwZlwqnCj/tV11yrgsYo4HDhG5wW8CAK1153ffX297yv0dEUxZ2Oz9SuwjecbKMKaiO3+84uo8qipJtBgAEheD1Os4hxpkET1yhAMzaVdBdOsZkabFlzOr5r+dvY2F3TtvGo3/BrFGWw+cyme9rL+FccGrNJDqasrBhQ395i62q9b25YMWpUwmQE/va3V6rd9ty7+sI6X62uvva6yS+rqm7U5KxIKUIq9Olnnl2t9vm165HAlEG6VOJT8EDG2qgdGt/be151y3ULJ343Xb2gOu+0Nyo6eIy+q8N66lHzKzqJowo/Onp+nRfX6Rjoa13zmwXVgTvNrX594RsVy09mQsg5NF76y+Lq+EPnVUfuO6967qnJzo5lXXY5W3DcpeT2n/9YXJ15wvzq0D3mVffd2X3Z2rIuK/mzxIROM51vltD5gPF57nkXVMt/cMXaOPzPty434dRI6UfSuPDin9ezC+i0b7z5VnU+dBjuuvueitkLzCDE2GTUs8uSCqZ+f/YLX6zTIC3SJG3avwsuuqSeOUf6zFbEqZEKp5x2+kR5Vl5tzdqpQxqktcfe+004ZJiRh6HvA23B7t/dt6bjyKOPrY09MGP5DvmfeMqPfJTqplt+X88SZDZIbiYCszi+udGm1X+97R3Vry+7fKl0ZtqD4tCYaRyNyzNKGyXOsfmpOr85J9dll19Rz/767n4H9nLENlOzbL8YtUND9XyUzgYGIzfcZPNaB+faqWWL9PTLPXZmLFk6XGZoTD9+FopnOAJToWxHCeEojQU7QyPnQHjtH4urs06aXy8pwLHBEpVRddSnu0NjlLKwLNPOOTSWJV1NebdxaDSlMV3e2874gYcevhTZGLZbbbdj3eHHMcEMjV/88tf1zIecMcpSjzXWXqc2JpnyGzl85fDAmdJl345DjziyTh+HBWn5gDOAGYrQieMDB4gPjzz2WPXRT32m/obZeji7fYA2LVHE+eGDjP8VPvLxSdPQL7/yqtoR4TtI5EFeKbp9+jhEKAPGeWrGoI8zXf+r7S0zNKYrB9vRPUobpR0FS3/VxqGxdKyZ+UQ6Lafj+5Rc9XxU6UMbznmc9KPWJX1wmI5xi0NjOnKt0DxrEZgKZTtKcEdpLLR1aFA+vLV0DtlnYIcNXq9+/7vRjGQXh8Yopal72sWh0R27qYr59DPPViutslrd8aYD7oN0IbMzzr/wonr2gfbbyBmj1/3uhupt71q+Yq35I48+6pOt/2v2Aekce8JJ4Teph3954YV6dhxx2Z8DIysK7Iuxymc/VztkouU0p/74J7WzgH09Hnr4kSiJ+pl06he/8vWlnB4y/pnVB14Kwsk6NKCTWRzQnXL0KL6uSsc7TPR+Jl0lb6PuhIifljczCcdxL4vwH8Us0q5lLw6NN5GTTsvp+De/HvxO9XxU6UPR2eeeV+v9cZKxwZEavxjFoTFFPGH05GMrr1pvOEaFvPRXv6mnnTId1RsbIumVV16pN79hwzLW+r7/wx+rNxdjilI0qkQ8RnrYgIy8MAJJY7+DDqlW/OSna8OQaauMqig+00/P/9nF9VQ18njPCh+qNw+75977REZ4RXDYOG37nXatPvmZ1av/fsd76rW5TEGlbKQbhTvvurtafa0v1T/ubbAYsXcENLCRGeVmxIh4rHvG2MwF8oYGaCGuMGZXdtZa9w2eL2CGMclUYuHq82AaIDzhyjdnnH1ObawzsmiVmuef0hFuGLeaDk3ZSJOfH52z+SkNfxUPwZh11UwdRhbBidHBXBDGm229Xb2R3luWe1erDfVGaSwM4tCgbMzKOPF7S5aEHH3gvGr+vLjEzOi47OIF1WF7zqt233xutdNGr1f7f2dudeFP3qj3M/Cx2LPg5O/Pr767zZJvmQVCHP7z4120rwEnUtx+88LqhMPnVXttPbfa4Vuv11e+f/iPizpt7shyEfJkqQ2nXqTC319dXP1g/3n1t5ddMnkjTDaWJA2uqfDsk4uqnxw/v95vg800wQlM/3jXwpDupx5bVB20y9z6x30ULI5XXjqZJn1PXxFscBzts93c6jsbvl6xPwp5g2XqlI+cQyNHm96Jl7nrMPksHrCPCfLEsinl/b3vTuYtfOYZ7++5LdbD4Ie8/+7yBdXBu86tSBcZ5Z6lRch8KsAL0lb5nn5iUXXcwUvqBnTB1yt+sSBZn1Lp+ucsxUA/4tTAueEDo1x77XvApM0t1cHOGaO0i+hM9oegLU4FdSLQWYME0cAmozf//g/ZqCwbgVb260Af26D8t9lhp6Xe2e/YABCHQtTRlvHvnTfRDA3ac9LI7a1h8+X+5Zf/Wi+PpAw4YPqErm3KsOwGaKfdo/3DXmL5ElfsJ9p8dXQinAcpN+0/tgI2AzYXP2y2a677Xc1ntZFNDg1OmkFusAnU/vIfu8nLkuiTHYEtxT32EMuhrI3FjCLFx9Y64eRTa8cbNhjf8X0bO4q4Z559bm1bYiNRTm2IC56pMCx+kj/L0cCZ/KEfB+Ihh3+/5qfPXzYT3yLPfM8MKXQF/LGzqLydhhOTpV2KG+kMyvzDE0+p6QFH8MC2x+lpnY2iCxuYDYrJn2+hiSv/+fHO7rHmcVM6XP27rrY1aTHDDQzpS2CLWpmwNEdOaEtT7j6Xh3QaeOSWa4ApdCJz8IVfTv5UN9ra2KJ/UL6yZBAdi3z5DZUHlVnRUK5LEEBvxb+yh8ZQZUSN1FfW36BWYBhqVEh+kUPjyquvqTfy0jf+ymZjVAwf1OjyPaeIcMqFj8t/RmDYSAxjKXpPZYumypIfG6XRcNoy+DQ22HjTpUaLiCtjLzIKhBEd/J+cdU5d4X26/E9NvyV9psySdxSPZ0zP7aNom/jC3hcRX2Sc0giBvaXPOjQs/6yyFm42nr33DajySxlFTTyE/zi+ZNhYOWN3fHhg87f3yAVrzyPnjuVxrjNh82t7P6hDg3Tv/P3CeoYGG0TSyfXh3tsXVntssWRTTO27Ya90Av3sDkuH/Vb30f4HHIuK00Hf+CszSc44YfClMXTAOfGCWSiUNRXo+PIN33oHQ26WCX0wOsA4MTzN/Ifui85aeu+NnENBNFocmU3jA++hjTyivHl2zIHzKvaU8CGXf5t3qfzs82HyWTyw6eueTVvZKFTBbuTKBqFR4KSfA76TlmtkHtmPgl32cu1lCybtSSOauCLPEfZRmtEzlpmgVwZZzmD1pNWfUfq5Z3aNs9etuXi8I1/ojtp1H1f6kHYD54CCNdqb8rdtBsfb2oD+VlvNqCCBZ3SioFFp04FYa9316jY3t6eHTVv3WjrT5HjR99F1WG1KV7sBTHKbxLIsiOU98DSyXaIyRc+wDVIbxdI5ZDNWTpeBN6m2m3b1iCOPnhjY4Fv7Ix2cMFH7q/pBGXA24Oiycbmn/eYUiWeefa7CXvXv+Y8dxV4rqYCTjU5bFJdnnLaDLRUF1Yk+duBjjz8xsYdNRAP7w/iTQGQzRd/7umzrHE6KT6/++UllVb1S+ZrsRhwVP7tk8tI0qwMimqzdSD4WN29b2Xdd6wh5sNmo9ivyNCETV1x19cTmpF31by4P5Oaqa67N5kFdRrblBPJ08p90bvnDrWJPfVXdiL7nmecpkbrwVfX3uBNOnmRfd5HZSQUofxLOjLKHxtBFQwrlncuvUE93xXigwtPA4RnEM6egTbmoRHzHbuIoUL7lqB8plKhjbxUtShtPLoqS5w88+FC19fbfqRssRuNprKCHBpS0+YZviUPe0dpeezwUDR+d8wcferhuPNkVGicKjSXxo+m2UhqRUSCMPvTxT9UKh83aOKFDtJOXnCiMzKG4bLC0gREGHIqd75iyS3rQhZee6b6DBssXsMHwg7Y2fFFjSbmZ7gwtOFaID/+18Rz/aTyh0zYIKEFGJMGDUSPeo7T5np9vwJRfZBSRlpwqOC7AEtkgHdKHNnCOnFrkoyNheX/Y946qR2sWLFhQG0D85znxZUBbnMVj3xjbb7re2w4wHcA24dW/La43vKQDdv2Vk2cB6PhL3jEijeOC00qY2cFpH8cevMQBwWyK55950xmCWHIKBR3LE49YMgOEK//5+RMqoFtHozLCffHZb1Qv/mVxxSSnl19cXP/nOR3366+YTGNTGTnKVnSedWJ8hCf08o5yRjNV1JmOMLVHnLIvCfSSHh3ZS897o+7sRkt6ck4Dlcny0zs0Fi6oagcPNIML+6A8//Simjfgy3GrOKl4f+EZbyw1SySXf+7dnFcXV7fe8OZms3bjWe4v+Mkb1fYbLKEJR48Nffis03IoC2U6fM95tcwhT8zIsDNReKaTaSKHxgt/Wlztt+MSZ8a+OyyRa8kmTi+O5yUPnFsP3/+mXKsscmjsudXc2tl33CHz6vpAGs89vajmhZxM55wSy5zSSl2tQyHaPyMVT+2L15+p71PP2XQTAx1dzRKVQYKWtLRZhiGnje8w0R4w+41yMIsjF1g2o45pZHSr3UIvo9vRvXR66YRhRNM+0gaQV9Su5vLmHUtyiOudMk3x9H5YbUpXuwE6tGcK5fjaBhtNsrlk02AvIROR7aKy5K7an4Q8SAO7C/zV7uK4I334wzdR2w2vcDbQvsJDBg7UdnPlP895z3feRlL9QK7BiwEv2Ze0/XJgQN/aX/5abWvSjkMjdo6wgL6NNttykt2qslMmdfAZxZf9SRpsHqtBNsoaOUVkI3Tlp5Un8idP9AkzgDjKWfl7G0QnicjZ96Wvrl/bjdDNjAziK/BMdhr1nM4zdRm9QfntUrZbb7+j5iuYyR4nL+wwMNfmkH5pGbzDpiYvZpMRnyv/+flTWISbLxc0611XTElDegQ6rP0LLeo3MFtbuFj7Vbg1Xdvkwf5H8BU6ojywy9F1vJd8IxPIALIu/tO3wpGrMKiN3ZWvys9eu8qsTaPcL3HWU2+W/pUZGkOVDykUKhmdSSpPFBBsNWiMfFhHh75HCeroNaaS2YBykUKJdiknPRoi6Eh1OnUcG04PP5sBRwDT75iOGTWY0KKNwjhlg6l4NqhBjYyCJowQUhlelI0Ovg00uEwRhO5o13UMChpsHAKp0QGbnr23fIkcSXwrZQyufk20HAwpQ0N5Wf5FyrrpvdJRfpFRROMDRij9aBaOdXj4ddkocYyVVFx4pF31o5FV8ThqdEV716vtAEed7yhd2+H3nebfXrKg2vnbr9edPzqBPjCrQqPcV/4ydjTknAFKD8cJHUycFrcEe3lYhwPOCWgeJNx49YK608+SjJdfyJfDO3XIJ1UG6DrlqCWOkMhZwnucGsxiwUlj7MHssakqm+Wn582Lf16yrALnAe/Iy4fLf76g7phzQguOKxtyTovcO5uGv8eJw+k6OAOijWaHwWc5E6LZH6In59DAEcRRtNCIzEVyTTk0W4ilJH4plmhIlRNe4Mjg/b7bz62oJ4MGuw/FIEsZ1L6kjN02dKD/1IFIddpy6cjBELUDNp5mRUBrdLy2nB1eB9s0uKfDSV6kkzoKnROz6ITwHR1e2kGdMsa0Z/S5N/B9Pqn/tFPkTdtLGzxoGFabAg2RbdVkN9BZBZtUfMqjtp1vItulTZmx1cA/1ZG37S75RG235Bt+ad8YmzdlZaYJ+TAKzZG9Nig+6SMD2EQ2WCzYEBdb0AfJW+SwwxGnGTtymPn41rET1S/ZCCl+NPGTZV4s9wJnHAw+cHIPg1p0jKOl1co/Z6NYOyzFT+XLkh3oSeGBHavZLCldl7PnlE+Obr3riqntN6TsX+vIIp/IfhWt0XUYecydN6+enUT9SNEpZ3XUv4Euy9tcGYbBV+HQV2aVzmy/ohviX3FoDFU2pFBo9HP7E+BAoKI1fSenge802sqYGtmytEQGiF0Xm6rQr7766iSPtQVLjWZkpOldZBSILr/e16atih/FV9q5tcuaCWHTbHMvvqQaSdKgIjGCgVHFHhk2qEFqMk4t/yLsm94rT+XnjSI78onjAZqj8PAjj9Qjg6wr9bNZiAP/U3GhmwYtcjqJxzljIaKnzTPbAW7r0CDdVIedd8zGiPa7ED2KSycxCnrfRA9seO2fS2Y3ROkw0t61g/iX5xfXM0wYNWdGhQ9adsMsFL71IVUGi/cvfjp5NoLSYOZAJGJtnAY2fe/QUPpgZmcn6DlX5cH+EMyosUHvoqVGuXc2DXuPnODEgEeH7TGvYk+SKPTls5wJXR0aLDXZfYvmJUgP3reo2mnj1+sf9zaIhr22mlv9+bnJ7/TdI/cvqp2BEb76Jndtq+d8GmoDuhjUpIVO0wh4U0fF563/tDGcvgINqU6MzYfvovZMR9bSOU0NHvhOhNf3oil1pf2nM5XqvKbi2efCPCqD/S53P4w2pavdoL1amtp2Oeq7lNMOiOTaXXW2kImIl9pzBflK2TJ0DNk/jDR8B1m84p1fniT+yHZg4Ip23gc57CIctJ9LalBJaUm2o1OEZCN05afsj5yDLYUd9Cn/nI1i9RMnGjUFnFV2vwv/vTBPOST1PpIJpZWjW++6Yiq5adITcnYhX5H9Klqjq/Jokh31fXJ5YOfyi4Kti9GGz5a3TWXoy1fR11dmlc5sv9KOxL/i0BiqbEih5JQkGWpUhnWvMCYV1LH3SrtNZWyixVb4pgod0ccaN6Y0Rg2elFb0TnSlGlLyUvmi+HZUj/W8uY2nIrpzz8QXpgHnGsNUGm0aJFu+lLJW+VPvlX8qPxkjXaZSK+2mK84c6PPTqIknHjfVg6Y8ove2A9zkQLDxUx12+010Tyf2+EOXjMin8uuats/v2t8umW3g90vw30X/USNaUnLykfMrRukVeCca/Tt9o/dRGc8++c2R+CcfjTu3Ssde2zgNLD9TDg2bpr+/946F1Xc2er1eekJ+NuTyz72zaegeDKEPh1FqmYa+bbo28VnOhK4ODWbg4HSJZq1Y2nLYiwY2HsWhFAXNEunq0GAWIg7xQfWU2pcm/RjRzDMtPUjNQEvF88/tdGSmRzMLQlPWcRDj9MZRwUZ1GPCp0W6WEFAWZlXQEdYUaQzpi39xaT2FHVppD/muaXmKpdPOCOB0k5y9YeP5e2Eetcn+267/27QpXe0GOQma2nYtJepSTnX0m+QZ20JLjXznVQNNyE3TPiff/8ExtTz4fU3a8CplO4h3skEiHHCSIIfR7FzF52ptTGwCG2QjdOWnsAYnNoXEwTNIUP45G0UYdNUzlh7q4be32LrGzfNc3zXxhO9ydOtdV0xxjFHWpmVlsi+74DIVeYATS3W07ARcfBgWb9vwVXn3lVmlM9uvsTNjyUAhdhrWirVY0t8zULbI/Pi/uFq0eHG18F/P/202gy2FklOSgKtNOj//pa/URg+GT/RDAWII+UalTWVsosU2NjmHBhWW/TPOu+BntSHFFC+7Q7CnDf7nGtQmuoiv8kVp855NtWjIUKgYeptutW09JZcNrroabJYvGApdQpsGyZYv1SCo/Kn3oi2VX8oRpniDXPGAM6LEvi677bl3vXu3lkJB33RwaNC551QROnnsf5AK7GFw3x0L644rHXtOOdGJE8SNOvuklXMGRHmxnIRNOTmd5MwT5tcnq3Bqh/Yk6OLQIJ/ULAyWoLAUJbdpaK4Mdp8RaGT/BTq8Tz++ZD+LqIw8a+M0yHWqbbo4ltg/46arF1Q4WFguwb4m2qg06lTn8s+9s/nqnlNWyCO1ZEjf2WtXPsuZ0NWhwUwa5BWZt44tS5vutTTFy/YgNETYK/3cNddOtInXpB+jNOTMoP1IzYiI4qWecdIW7RS0RD+WOXDaBd9EupJ0mZ6v5S9RGjg6aPO23XHnOo/IQE/Rp/LaqdnasR+bg44+J580tZtdeRXRNao2Re2mtxusA6GpbVdnzacRlcM/kzPED0D57/ivwRPfubVLarH/IrtQz7AfkRdvb7bhVcp2EK0pLHkvR0qTc4hvtTTFl7OvHQhP5QgEA2bschoftiyd2aYwSP6kn7ORfV7sncGAH/qFcnPKCU5N1W2PheI38YTvcnTn3imPHF8lk95Bpri6yuk2KC7EH3Ye6C2WUF12+RW1Y2uLbXaoZw3bzULBxQfhMEgZuvJVefeVWaUz26/wPP6VGRpDlY02CsU6EqTgmq6+cW1TGZtosXREypqZEBxthsMgoo8GBKPQ0waguQa1iS7iq3xR2rxnFIxlH9o41dLHlFIakkE99haPSAG2EZQ2DZItH3RH2Kv8qfeiJZUfaRI3ZUArfu7KcpRNttymHjW0+HIP3+F/Ko82PM7lnXtnO8C+E5aKN+fvi6tD91ji0PD7YODR5ehP7ZNBR9D+6MByTOgwHBp/enZRdfxh8yY64TYfHAXs5cGzrg4NlZO02FNDgSUoPKOMqb0Ocg4N0sGpoY0kLd3gc9L35tcbnCo/Xds4DSw/6UT7wL4YZ544P3nKBphRtqhTncs/987TYDfYjPbN8N/35fMgzgR44TcFbeKlpVd5+bqk522cKhH2No/Ufa6dSMXhueKhfyL9mYpr90igU4izfhiB4y1xSOB4kK5EP+ooUDmYcyOftGkcP4mzWGmgZ9nzgqM+ea+BkNQyAl8W9hFgSaBdVsOu/+y7oDy4tnHuCPNUm+zzjv6Puk1Ru+lpHKRtT6URlcc/G6TdVRvpO7fC2fKn6X6qHRopu8Pjwf9UOfXc027TaOIFNh6zM2znVVixhxr1STOmbLqWrjb5k2aTnqGDhXNT+2SIDl2xo//7He+p653nuWhrg2sOt9w75ZHDtE3+pGPrUxMuylfXYeWB7mZGl9WXwporWKvvAi4+CAe+zZVhGHy1efeRWZvObL6PnRllhsbQZaKNQmGNHaMlVCQMFEZvmn5MPeT4VYU2lbGJlpxS0ppbaMTYYeoWDQfTX9llm7hqeL3xAI25d010EV/li9IWBlxRahhoeH05c10KDLrtiJSNk7pn1Eg7UUcKMBXPPm+rrFW+lDJteq88U/lpL5CuDg07lRojnUYfJxGKn/XcYMU99Ed5tOGxyjDo1XaAfScslZY6ryxNuP/uyftLcEoFHWI6hnSO2QCTmRPM1NDJEk0dxKb30GVnOTCrgI4inUY6o3SYGc3XHhpdHRrkw/GplEWj84zQs8yEZ7nZKW3KgPOH/TdwCjFDws5eiZZhCPdch9fyEzxseOkvb27ICo9wqFx05hvVH25YWJ+0QdxcHl3fWRrs5pltjigdBp8HcSZEDo3UrAtbLt0jE6Th69IgNOT4q3yiq0ajU3owisMztS+DxLMdeZwPfqPEVF6DPKfzxGihP5lAU/TbjGiTH+0rbQB6VkGjok3LGfQ9baOOcmV2B4H0GPWnTWezO+jlZDD2AMntLUFcYd7UJit/f52KNkXtpqfR2lxNbbtk0qfhyxP95yhKsI3aRP+9ZjnQhttgl2FBa5NtyHtmAzD6q9CGVynbQWmksOR9ataF4tqrRuR9OdvYCDkabB7INTbPnvvsX5+MYR2LKcflIPm30TN21jDOTGx7ZrXCG3QCda0J86b3lDlHd+6d8MphqmVZnleKqyt7rrCspQ0uiqNrW9nJ5eFnOuDU2GWPver9YnBao3+ZhYbdCo3g4oNwaCrDMPjq8+Z/F5mN0pmNz4pDY4q43kahQIoq9SBrYW0R2lTGJlpyDg2tc8PIYWOnKOQazdy7JrrIS+Ub1BTjpjEAACAASURBVKjAiGPmhhwbbTZysmUTX5qm3Nk49r5Ng2TLl1KmKn/qvfJM5SejiIaV0cFBgxo2DF0M3ihMF4cGnXAdg+n3FLDHudIJ9Cc9qNxNnf2m96SjfSg4dcIe/6o8uA7DoaFOvDZz1GahbP7oN360ebcpg/2ee7B9/OFF9SkXdIoP23NefZSrvhMtuQ5vzqGB44R0cZY8eO9kR1SbPHL5594pbcrHCS7QsMcWc+slNnqXug6Dz4M4E6DNz9D49c+W0Jzb/wL67VIs6LZhEBpy/LVp+nur5ziVqW1Q+9KkH5We3VRzUEe30uh6xfjSRpORYd02XW0kudIqq1VPP/NsYzRt3Mfx27T1BC2n8HsfqNPpN5e0mchJHu0DYr9L3U9FmyJ5iuwGtZVNbbtm00RppMqm55LLpnYXmYAO5Nd3HjkNg1k1LDUG8y5BdOTKIDx8/sovh6WO8M3t1UA6dDy1V4i3dUdpB86ZM6fiWFacS/z8aXTQNkj+TXrG7uuGDZmaHdyEedP7JroHKVMkG7L7czPJoEF6pAkXvvVBNDbJjhyLUR52Lwr2BYpm4dj+DXn6IPmO0te3w+Kr0std28hsLv5selccGlPEbVXW3DQ2SJHiaDoNI0V2m8rYRIut8H7KVZuOvdaLRoox16A20UWZVb4o7RQmeo6wMzKFomo7Iqa4Gklj2qA/LlbfcNVZ5lxtaNMg8b3Kl1KmTe+VZyo/jeaRPrtFpwIOIMrJj3uCHc3KrTcWVtFoVBsep2hqem47wH5UOYr78P2L6g4xHT86aTZwKgazDJiZwYkNUbCdvlR+Tc4ATlDREZmpk0LIW5s59pmhgVPm6AOXLK8hPR3nmls6QN5NZYiw0TMtaZETRc+1aSR7d9xzW+yQ4AQN4kX80UwDZs3gXIgCM25GtSkox+uypKbtvhnD4vMgzoTIoQHWYI4jiL1aUkHOLma/2CVKfD8IDV0dGrYNQme0DWpfUvrTpoNhjIHOt1/bYKNJMx3td4Pey+Cmw5TbvBGHMHtOpdoyjdTnbAbaNDpolKFpI3HKwTGeLCvxR3oKN5+X9HWOB9L30alWTdhNVZuidjPCWjZXU9uu0xWiNJrKaTtAuXaX9lZLE2jDbWDkVjNFBx2QUTric64MKdtBaeSwlHOraVYPJ/2xn0jkVJDMeVlU/lxzNNjvonurW3DY+TBI/k16ps0AknXueJ6Ltiae8F2O7tw75ZHD1J5KEx3lqzTkLG3CRd/ba1vZ+fVll9dOvSgPzYTK7VVjbWBw8UE4ROnr22HxVek1XZtktin+bHlfHBpTxOk2CgVSrKJHOaQC0/zZUOioY46rXp87d+KzNpWxiRZbebxDQ6MpKYeAprOiDKJGM9egNtFFIVW+KO1f/PLXNSbf+vZmoSfcOjSaRmMmAP3XjfhCuVI7wrMDPeua+cYryjYNki1fSpli8GA48j43cpnLD2OI+KTDWuooqGGyo37WoIoMAdJhujbn25N+F4cGsqdpmBFduWdtHRp0gO++dWE9sk6nLzpmU8dbRktRRIM2gySNlEOjqePNcpJjD85vSsrShu/tveSbPg4N6NbMhh8cMK869qAlaV7+8zf31FDZ7DXl0KDTe9zB82qnQ6pzLIcGR8KyTERBe3oIOzb2tMEeg8o33uGk2Q5aPmPjck980R11qnOzMHLvSNs6wpjhk3KoWJqGxec2MyzkLAI3P0MDWWK2DO9Se37Y2SfR3ipT4dAAuzbOc4sx92pfUvpT36OnmJHBd2zOyUyNQQNOa7+EhDTooOjYVnRhtISFdpIp7+TPMhc5jS0N6kQwIn/+hRfZVxP32vuj6ThFIjA6vNFmW9adSG9bCDffiVSb7NuzCQLMZn7+CHn7Tep+KtoU8s7ZDXLy0LnGrsJO8AEnlRwNke3hv/f/SXOvfQ+o+Z06ypc4dhp71LllRgF04ghLzZCkDeXYVpx0dP5sEJ9zZcjZDqSVwxJZZzAOuU4t6QALbCi+iZxIkjkvi7YcORpOOvW0in0yUsfjWvs2GphpM8tE+VMGbyNbOjVjILccjI134QdpRTwnvTa6MIdb7p3oVZki2ZDugEb4+9zzzyvaxFVL1PimCZeJSOYGuw9dTNyU7MA7Zpal8pBTJHc8LboUnUoakV5rY2MPi68qfl+ZVTqz/YpuiX9lU9ChykYbhUKGMINGlUaLDY1Ya2eNHaZQnX7m2RObHTE6QxwFKaWcQmmixSp8r6x1ZjsGFPc2b21qA+3kHynGXIPaRBdlVPmitFmTyJIS8vfTzcANLPWe+0GDjA3SOO6EkyfxhXV5mirqR7/Ip8lIEC0qX4p/1gDEYKERgAd+al0uP2ucMULJSTUKpPWb315Rr5uGBowwy2PxCIOKhtgGiwFxB3VoyDgnLruU0zEYJFiHxolHzK/o2NkfHWo6eHTmtTfGvtvPrXBe+GDTotM+59U36xjfckQpcekY8ks5NORAYEScGQNUVX+6hDqInMyBk8SG1/6xuN67Q/n0dWho5F3p7b5FXH5LgxwDvox/f3VxddAuSzBglkkOI463pVNvw7mnLtm/A15wogvpgQ/LbtggdaeN3twM1Ts05ChhucytNyzBVWkzE4X9NMTjYTo0rHPp0N3nVc88uWiSjFl50z4romsYfNYMC2aG3HDVgmrRoqr+mSagpgc5gcfeoQEtYEd88AEnu5wKR9BvLnpj4v2Vly7t7FI5cjN75FSJsBceTVeNnDdNc7bpqH1J6U++pdOlk0Po+OA4QO+mfpGDVSeE0NbQLvjAMa1a3ki7oONW+Y579DNxGclmD4ko2E4E3zH6KD3Plc6qNvFsoy/VfkUOFM0gsB0B9L722kjNNLHtUcrJHZXNPhtlm6J81K5GdgPl1CwXeIZtIJyJz8auOL/esty76s1dozSUT+6qGTnIJo4u0lUgP+y6dy6/QnaDSOuIwxlw2x13TmqfaYMlW5GTS/UjV4ac7QC9OSx5j6zIzvLHpmLLYjvp/SmnnS4IJq6Sh64ODfhH3SIPOq/WfrE2Ku+xGX1Qp5j32jwU/th0hEFOz5CutaVxJtr97nh/x513TQxQkRbYR0G6ED3ADGho8fZRDrfcO+WnMqVkw9pnbLqP44flbjyn/rCcat2vfaNac+11a/vf9x2UT+6qgTT452VHsg1f5JDwebDkjkE4sGTfFPitAGbWtuUbcPHB6rSUjT0svirvvjKrdGb7FR7Hv+LQGKpstFEoyhClj4FCpabS4dj42Mqr1j97xNMGG2+61OiPlBLxfGVX+k202Mrq0+Cd9ZC+/8MfqzbcdItaiUEnNHNUKkoxUoy5BrWJLuhX+aK0wU2jXpQfrPAm87O4dd34zacvvjC9DSVLnlwxdn1oMhL0vcqX458MBr7RjwbPhqb8bOMEz9g8CRmDn0oTI86PLlpnCPHoEGy8+VbVKp/9XF12yq8jBAd1aIj/5N9l+rJ1QqjDnrrSmaPTnDrZAyzV8SMNOoB03nFu6BhVRq/Zi4D3vrMvXtjNK0ULMzJs595+A13MZvjhofOq/XaYW+dL3qf+YEnnv69Dw24ECj1sCuodLKJd15RDg/daeiGMoJllLcKI55SH/TR8sCeECBtdKfO1ly2oN0jlmXdowGscU/p+982X8ObgXefWjhBwZPYGHeqoU52bhZF7pxkSyjd39bwaBp99ucnf7/8iZwLvIocGzg82vNWxtjiO4BE/7okHfj/90Rv1TBfPt6lyaGhviEjXe5r0X+0LOsS3XfpGI7DSc03XSI9JvxIXPcnSCRswqnAgaBNC6VirX2k/crPsSI+ZIxq1JC/i2PaGZ5EdYGnhXvo+NSsPetWpZ5Yhy0gOOOSwWqeTP06dKGh5TZ99HUbZpohmtaspWaKdA0fJAvYC7aGOocc5wOwIZCGVhvLKXeE3PCQfZIP0yUf2CbbJEUceXb9PdW69TCBTpGHlgrSRP/hqg+pHrgyS7VT+TVh62ZedBI0qO/VhnwMOnjQoJDplB3R1aFinDziDD2nR0W6Tv7dxScPvLSMMeJfSMyqPtdewj9ikHpsZmwsccExpI80U5raOkCc/PyMqh1vunehUmXKycfW119WyJhrsFT2BzgZrnjfhonztNdX3kWyDF7MZcnnIcQsN8Bv7Hx0t3Yt+k9MFXKJgeaYyehvbftOVr8q7r8wqndl+RffEv+LQGKpstFEoNkM8wv6oNlUsPKHM4rDeR8WVUsoplCZacg4N8mGTGpaeyFizdLE+FOMJpRgpxlyD2kQXeat8Udq8RyFCQ3RkUw434dd0zfGFhgmFH4UmI0FxVL4c/6iwjDzYMvr1023yi44UJF+UMzMz4HMUmG7Isa00LuI9V+hh2Q+Knv9RRyDHY9YlMuJIuqmpvxE9etbk0KADt+8Oc+tNOJ9+YlGrpQL33bmwjmM7rnT2WALCbIdcZ190PffUourwPd+cFbLPdnOrl1+YbGjiWMHBQto2LxwDt920sHau8Nx3kpXHIFfNbiAvvz9ClE5TGR+4Z2G9bMfTDt4nJo5tVT5gyNIXG1dlZnYKswAot3doEB9+s/REHXPhxr4nLKNhaciwHRrqzCuv3DXi1TD4TBrgqnJ7h02TQwPs6Ofce3t8JDH4a/aH+GSvwmDUMzRo35g6jy7xxqSlx96rfSFOyqCWDuKbNr9Ij5E2xjK6MnJgQxN6+sqrr5lYqqC80G9f+ur61T333mdJT94zMkl7S15Kg2vb9kzGco5WMkffM7Xdtusrr7ZmPQsgRRy6nvIMMosmSmtUbYryUruashv4TqP36vQKa0ajmR3TJg3ll7syI4fT4ZQ+VzDcctsd6gEEyWeqc0vaKZkgLewQ5A7580H1I4dDk+3QBoeU7EMfdoJmPnj6+K/yd3VokAayvP/Bh04cIW+xbsqf+MgjziXVBY+XMCDdlJ6xZcMupC5ZOuA5M3VY9tuEOWnd/8CDtd4gHunY5cC8z+GWeyc6VSZfVr3XFWyZScFAFk4qHAY/PPGUWiab+g5KI3fFxmYDf+qdxYt6iTMD2c85NGQf+/jwkqWAjz/x5ER8cImC0sjZ2MQbBl+Vf1+ZVTqz+Qrf4l9xaIyFXMAc1ulqalc0/XVZEcrULOjiyFaWLeBMGJcg3HCu8Bs2bjZ9MPCbgE4FDqKBNX99sIePjPqgnJmy1zYtGi+wpUHHOUJD1DeQNwb4OAXsQpYP3HXrwvrI1n/OWdpQbEMvHXA6m1xTgXd0xBlZf/Evi+vlBKlvx+05tD/39KLqntsX1vtl2FkoTbTyLdh0wZa47OHBka3PP70onFXQlP9Uvx8Gn/tgZssL5uCH3P39lSXLfuz7ZXmvPQP8aOSypEl5ozfRgW2CNoum09A2jk8X3YiuJ41ht2c2L+hrkwftj05p6bpJpc2X+1G0KT6Ppv/gTKdn0PawKV3/Hpmg/exjP0gmWIbwwIMPLRM7xJfL/6ecsl+jPWf898P8j01CXWFpCTQMmj91nLowDPuO+gItl11+RU1P1zRVP7vqkWHi69OCppyzwX+f+w/vwJ56iH0KLwYJxMcuxT6lnnXBq42NPSy+qmx9ZVbpzMYrvIh/xaExG+WhlLkgUBAoCBQECgJjgQAdAKYyN52aMBbEzjIitFE208G5L6EgUBCY2Qiw1w5OtFTQsa3MImFWUwkFgalEIHZmLBmkYWCSoUQ7nJj+nsHERebH/8XVIvYr/Nfzf5vKgpW8CgIFgYJAQaAgUBCY3ghoo7jUqQXTu3TTl3pNY09N256+JSuUFwQKAhYBnBgsA2bTWr/hvr5jZoH2fylOTqFSrlOJQNpBUWZoTCUfSl4FgYJAQaAgUBAoCDgEmCrMRtSs7fYnK7lPy98pQkAnduQ2DJ0iUko2BYGCwIgRoKOo0xeZfYE+5pQlloTw455nvOPXZQ+0ERehJD8LECgOjVnA5FLEgkBBoCBQECgIFAQKAgWBgkBBoCAwKALM0mAGhjZKtRt26p53+x10SHZZyqD5lu8LAm0RKA6NtkiV7woCBYGCQEGgIFAQKAgUBAoCBYGCwCxEgBkZHI3K6SaccqKTTnj2xJNPzUJESpHHBYHi0BgXThQ6CgIFgYJAQaAgUBAoCBQECgIFgYJAQaAgUBBojUBxaLSGqnxYECgIjCsC267/elV+BYMiA9NbBsZVvxS6CgIFgYJAQaAgUBAYXwSKQ2N8eVMoKwgUBAoCBYGCQEGgIFAQKAgUBAoCBYGCQEEggUBxaCSAKY8LAgWBgkBBoCBQECgIFAQKAgWBgkBBoCBQEBhfBIpDY3x5UygrCBQECgIFgYJAQaAgUBAoCBQECgIFgYJAQSCBQHFoJIApjwsCBYGCQEGgIFAQKAgUBAoCBYGCQEGgIFAQGF8EikNjfHlTKCsIFAQKAgWBgkBBoCBQECgIFAQKAgWBgkBBIIFAcWgkgCmPCwIFgYJAQaAgUBAoCBQECgIFgYJAQaAgUBAYXwSKQ2N8eVMoKwgUBAoCBYGCQEGgIFAQKAgUBAoCBYGCQEEggUBxaCSAKY8LAgWBgkBBoCBQECgIFAQKAgWBgkBBoCBQEBhfBIpDY3x5UygrCBQECgIFgYJAQaAgUBAoCBQECgIFgYJAQSCBQHFoJIApjwsCBYGCQEGgIFAQKAgUBAoCBYGCQEGgIFAQGF8EikNjfHlTKCsIFAQKAgWBgkBBoCBQECgIFAQKAgWBgkBBIIFAcWgkgCmPCwIFgYJAQaAgUBAoCBQECgIFgYJAQaAgUBAYXwSKQ2N8eVMoKwgUBAoCEwj89a9/q1548cUKpV1CQaAgMH4IzKQ6Om/e/Oq4E06udv/uvtWDDz08fmDPMoqe/9Ofqn0PPLg67HtHVX//+99nWelLcZclAjNJry1LHEveo0WgODRGi+9YpP6r3/y22nn3vaqjjzu+eu3118eCplEQMVvKOSzsaKT2P/jQWjZuu+POYSVb0hkBApdc+svqrW9/d/Ufb3lb9aPTzxhBDiVJISA98uMzztKjci0INCIw0+rozy75efVfb3tH9Z1d96jmz38jWf45c+ZURx59bN2O0J7QrjSFhQsXVldefU31zY02rT740U9Uy3/gI9Vn1vhCbaO88sorTdEb3z/73PPVQYcdUaf5P+/7YPWRT6xSbbntDtWNN9/S2iH8z9deq84974Lqi1/5evWBFVeq6fzy179ZXfqr31TQ3xSee/75aqfd9qzjEX/DTbeo7n/gwWQ0jHF0O7baxb+4dKnveE+Z/v3/vbU65bTTl3pfHhQERoHAKPWa2tqZ3jcZBV9KmksjUBwaS2My45784NgfVv/n//579dVvfGtaevYxHv705z9XGCk5h8x0L+dUCx54fnzlVWvZ+Pmlv5rq7Et+/0KADgC8yHUEJNvUYzoYJYwOAWG93Xd2GV0mJeWhINCm7gwjozb5SG5mQh198cWXqrXWXa96+3veV11/400hhBiPOCVWXm3Nug2h3LQn6LJc+NvfXqk232b7iTjEs7/lP7hiRUenS4Cmk049rVru3e+dlKbSxxmww867VThhcuGxx5+oPvuFL4ZpkBaOmJdeejmZBPaK4r//wx+rHSo4o9/7vx+tbr39jjCeOo7gDv5ReOjhR+q0Vvns56onnnwq+qQ8Kwi0RmBZ6zXpzKnum7TtU7QGsnw4FggUh8ZYsGG0RCwrpTGsUrXteE/3cg4Lr7bptMW1bXrlu24I0HHGSM51oJ96+pnq21tsXa33zQ2zo3zdKCixLALSIzl+2O/L/bJDoE3dGQZ1bfKZSXX0p+dfWM8EoOPOTAUfmEXBUhQ66eguZnJwbXJosIyFGQh8i9PhkMO/Xz3w4EMV2JGnnCN0/G+65fc+28b/F17883omG46LjTffqnbG0M7ddfc99WwJ0bvrnt9NzjqRMwcaca7gIMHBwY/lHnKWfGPDTZIDRCee8qO6jDhPKDOG9g9PPKV+Bm78t4G0P73656t3v/9/61kk9p29Jx7xoY08SigI9EFgWes1tbVT7dAotm8fqRnfuMWhMb68GRply0ppDKsAbZXPdC/nsPBqm05bXNumV77rhkAbo6JbyiVWFwSkR+BLCeONwFTVnanKZxzQxoGBI4NO8zk/PX8pku686+4JxwOde6aLH3Hk0fX3TQ6Ns889r3aUpBwWODbWXHvdOq2NNtsydKYsRdC/HuCIWGPtdeq4OE1wJPggh0du5smhRxxZp5GiUWngNKE8UUBecPJcfuVVE6/vve+P1Qof+fhSM2Xl5CE9sPTOjokE/nXz68sur9Ne7fNrV3954QX/uvwvCLRGYFnrNbW1xaHRmmXlwwwCxaGRAWemvFpWSmNY+LXteE/3cg4Lr7bptMW1bXrlu24ILGujohvVMzeW9Ah8KWG8EZiqujNV+YwD2r+/9bZ6pgCdbzrhPrA8EWcHSyO0J4TqTM6hwVIT9qPIOQLISx32VP6eHv2/7nc3VG971/LVh1dauXrk0Uf1eNLVOmuOPeGkSe/4w8abq665Vl0+yhQFO0uC8lAuH5AXZluApYLaW995O//Ci2oHxdc32DhMS/F1ffqZZ6uVVlltKYeJ3pdrQaAtAstar0lv+DrRlv6u36kuosfKcuuuKI5fvOLQmAKesLncx1ZetfraBhvVe0GksmSEYf1vfbv+9viTTlnqM6Z5Mm2RRpR1mYyOsJEWG0VRQVMhpzS+u9+BdX5cU4FRBuhnQyzWhqbCH+9/oF6fygZcb1nuXfVaT6Zc3nPvfY2jDlGajAStvtaXJtafonwoN7Tw8xtj+XKSLxuBEYeppkxnZYpratMxykYZSZsyM/rB9M73rPChpIFDBWKjMTb8YnMzRmUw6nbZY68KPFLB55X6rg1/kBvKRfkoJ+VlM7Inn3q6+sc//lFjoDLZfLxSx9hjei2YswEl5Wak7prrfteJf+QlHpIm9w8/8ki9flrTdqPGBP4wUoVs8x3lgS98G426kY/HkzWS5//s4omykMYgZQGLM88+tx4tBAfoYOTwmONPTMrPIOW1fBEWXCXbyC3fKHgc9Zwr9YB4ioPcI4+UGT6CPXylTE2hqyw1pav3qi/b77Rr9cnPrF799zveU9cbeJPbbM+XHxnZ76BD6rpGnVvxk5+udt9rn1rmlVfqigxdcNEltR4Fc37Il+RcegRjb9DgeUEdpC6KF6x9z+kg8rNpcJoBuHzui1+u63aqw9ilzqhs1BXygAfQiQ4hn7Z4dsnb11dk84STT63AB5mFDuQZWfZh0Lqj+NA5SPs5aD5eRpWvv3q80C+06WxAmaujti2gHiGvyK30E2kwewB+9gmS/1Qng7YR/Wx1seKk5BN65HDAYYDjIBVIl/e0T7k9s3x82Snsz5E7BUSdOGj2gX0scLjknCLEYV8RZnmkZnqQB84VyqwQzdB49LHHq0+tukZ2bw3F15UNWjfbervaJtlj7/30uNNVdZ/0rN1G3cttoDrVOqpN4dS2yBajbaGN2Xv/g1rtN4K8YUtLB6leNtUpYThT9WcbvTaobhU/pTdSukbf5a6D8E1lQda1/Iy2RnYXch2FrrJl6wntSRd7QPQMUk7FmW1X+BT/qopVfiz0s4v94m+XpLFo0aLqzd/iatGixdWixYurhf96/m+zDVyVl/WbTF/E8Gb0IRVokPmGb4ljA5tvsVM2nfroh1HOruRRyCkNNe45452OJHmmjBUMEKacSkF4+nhO58MaQBGd/plGinx6+u8NElvOM84+p+6o6Ft7Za0qa1Z9QGFQRr7F8OU7G8/nx8ZiOGwwgOx3uqfc4BKV2+YVdepFWxN/2DyNdb7K016Royuuurqe4spzn4+l4axzflptsPGSacY2De7bToUVzfYqHjJaRacammz6nqYmOV9nvfXr9dY2D+5tWTBAtE7b5qWyNG0Kh+GpUTofn//UQ+iMQtvyYnDTiEfp88w38DZd7m2wcv+Ts86pO4RRuk0jgH1kydKTum+qL9CMDEYjnrb8OCN83VR5ka/c2numtCND+t5eqa84rI465rj6fU4npspoeUHd8/Ku/HIypDS+sv4GE6caKF6kg7vWGcoA1ql6T57QT7uUCl3ztvUV3YNsqoz2inOD+mzDoHWHuE10Ru3noPlYGfV1VPQ30YHeiWZFEF9twbY77lw7FFLtTmq5hWjIXbt2liWzkXwqP2ZEwNtluakxDpINN9m8pgOafTjw0MPrd3yTc6a8/PJfqy+s89X621N//BOfTCU86CBjNBO03Ib2h2fYBThf4CN6Z5AgLHFovfrqq4NEnfiWU1hS9Q4+QRd7jUT2i8o3FTpqguDMTVPbQv3G/hAvfFLYznxjdY+932aHncKNZGeD/mzSa006LdKtwl9y5O0dvW+6Dso3lcXy1t5HOqGPbNnydbUHwGDQcjbhNlPfpx0UxaExNJ7bRjTaEIqMYIQ2e8LTa0dq2BVbhjGeRISb3YlpaG6/866JBhqvI7tg+2ArlR+5kJGUM95zDg3oZrSGxo8OAQ0gm3xhsHLlP89532Z9qKWd8jFSQxkZgUXxMGpO2vx8WVROcGCEhU3BiMu32tALA5l0MCR8Q813cmgw3RVFjIGDc4n4dhorcdVp5js2C+Mb0uB7OTpS5bZ5+U69xSDHHzpukgt2VGd0iXT5ISPICiMUKpPPx9Lw+S99pU6L2UR0+nh37XXX1yPD4MVIFP8HDWpAcNQx4oHzhdlHyAY/jCoFWx6mM5MfdEAPdMlxE3XMbVnYOJP8UrJIeXgXHUUID9VZZsYLOJI2P5yRjJQTH9yjjnPb8lJvXnjxxTpd7fjPVXnxjm8UlK6fxsx7yf2HPv6pio6ylXswRk6RQ+jea98DJqWr9C32XWRJ6aSuYA3m0AAt0PTgQw/XdZCyclwhZeO97QQoPZWfUU/4YnmDfNj40M8MAB8wPmXAkxeOC9VZ6VH4KkdTTif6tPVfvKDOUfcsnfAWeeKZZCg6guvwGAAAIABJREFU8UBpvHP5FepRXuoCdZdyMsJk2wbLt0HrjOUJdYsOFzoVuaMdQY6gM3WiQp+8wUJ6iX0PyN/qHukv8kem777nXkFc0zdI3enafg6zjkJ8Di82xERfU96Uw11tAd+Bl9Vvkl/iU79SI40TICZumJXI3gykE+2fkYg2oYPgKbz1ASzpFJKuHACc0kFdZyYeZWozS8WnO+h/DS752ROkM4gzx5YnmiWhdgTbB31CXcL2sO0GPIJXg+4VAq04n4nbNJMkhQ/1nE1N4Qd0Yb8werxgwYLqmWefq//znDyifUKmSkel6LfPc7YY9QLsKQfl8c5R0pF+4JtNttymXkbFrAvsduxNtUuU2YbZoj/V9ka2h7BDjqjD6O1h9U0s1tG98h6Eb4P2KfrKlupJH3ugSzkjvGbDM/Ry/CsOjaHyX7uGs/aRNZA+2LWb3pBgKi5nqacMHRtXxoJNX5Uq8oLKSMoZ7zmHhpQdjQVrQREmG/iPZxyl4w1T+13u3hq/vlNu46mcKNdolApa5HyJ1ufafKzhYfPQPYqbTnOqkbR5ReW2eeXKlOIPnRoMIcpKJy0a1ZZRxTf8fD6WhlR5bRqR4SY8UlfJB/mn5Je4GFjqSDKCZzttShvjhGU9yJI32G1ZeB85zyxPoqnCGCjknaPVdoojQ7RteVUmrike22+UbmRUtJF7HBmUi+nN6AsbhiFLNr3ons4Lo4n/+dblQt4QRycDRJvdqfw53vz2iivr+gj/o2Mf1YFIybo1XsgnpxOjMvLM8iIl77ZObbXdjks51mwakR5T3n3rDA6Sj37qM8mZg8g6I7A4kxmFs6Fv3ra+pviBEwPdCS+i/Q6gp03d6dt+ts1HMhrVUYtXG30dOR5V1pR+8/XYLlmzvMvda1kEbVtuZo5PQzKbcmjY8uN4p67TdsJb/8Phd9sdd/osev+nfst5HOluSyPlaQq0hzk9wf4i1B8N6OBovfra6+pkJdupQaimvCVr2IU3//4PTZ8v9Z5OEvopZ79ogC2arSJ+U/5R6qilCA8eyBZDj0RHDMN3lmtBa+Ts/v4Pjqnf+YFEZYVdi3PZz+ycLfpTshbptb66VXIU9U2Ef+ralW+kZ9sfbxfb/PrKlsqH7HW1B/qU05ZlNtxj48e/4tAYKv8feeyx2njEGKFB90EbYWFg8q0PKOWcgSJjJ5rOqUoVKQ3F45oKVHgqZGSsqFGPDHOlh6FFY0EakcNF36WubZWPyknD5pfsKG01QtDiFZnNh53OU6HNjBvi0iFg1Im8fHo2L0+HzTfFHzUyTTMnNM21qbypmUPQIoUayY+lNboXncg9Tr1U0HKrlPwrnjq93siyeIJ55OAhDSuL3kFjjfnc0rDc+um25VV5uKZ4bL9RupFRIbnPjdZh9GL8RvGVdh9ZsrTm7pkenVrjLzqW/8BH6plVNh29Q469w1ffkTZOE74BExtsZyUn6xrBJY2cTrRp23vxoknepe8jx6rSaKoLfeuMMM11inDyRaFv3ra+MgsuChgmGtVP8aJN3SHtPu0n8dvkIzyjOia8cm0T+WjgI+K9aGCpA0seooABjuxGbXX0vX+WK4P/1v6XzKbytUs02J+BjrSdAcnsFfQxz6A/ZfzbPAe5t87slAPN6oiUjrF5qsy+LbLfRPfkw+wIdEQ0+yGK45/Z+pOzH3w8+x9M0JlcoyC7L3KCq+yRnNq0JPdN36XadZtWdG9tMW9j2e816Bc56lSv0DURFjyL2izVlZmuP1XOSK+BcR/dKjnqYlt25Rs0t6k/w5Atla+PPdCnnLYOzIZ76mr8Kw6NofIfkOXx9p1/3uH9pSH379oQgUL59hZb1/ERfh9UqSKlocoSxVM6ati8sSIjhcoaOWkUn6s6xalGw37r79soH+KonLl1pdZo8YZA23xYekLnMWocPe2iyWPfNq8Uf3AMIS854xZaRCvf5sqLIZwK4r8vQ+p7+7ypMdS3Wrus9cV67q/qmGMg4ZxSsHimOkj6Vth5OcGIBadohoDicrUyBH9taFteGyfFY/tNLl3JmC+PjS98IqNEePSRJZtX1/urrrm2XmIR0ajy54xH8hWWni9yVkVTzS29dtp5TifaOPZevMg5l/jeTu33dU9pNNW3vnXG0oBeZmO3tqFv3pJH6psvv6VBWKR4IX6n3tu0UvdN7Sfx2uQjGY3kV3g1dX51gkXUpoqGXBsqGnxbnSq7f951KYP4lMrX8hue47CIlsf+4bbb680p+aaLLeTLo/8sNcCJkpqRwHdWr+dkUmmqzE31VN9zxdbTLFHaOmSvS7B4+na9S3pRHPYhgw8RT9uWXXLftV2P6LLPZN9Edc5+B+7UG8qDLWqD2j8cXb/57RWhU8N+r/vZoj+lU5owFi722qRb28qRTVP3XflG/Db1ZxiypfL1sQf6lFNYzZYr9Tz+FYfG0GVAo3LeWy0jhg5ybmQYglifhuFPo4iBw/pT9iZAUfOLDDtVqqjhlZEUxRMA6tD6hk2zHaAbhwpTD1M/9miAvogG5ZO6tlE+xM2VU2lbo8UbAm3zUae6SUmRpwxEj13bvFL8kaGQM27JX04nsO9aXvG/C+/aNIbW2EBOUjLEc+QMefONa1s8wUSjRp4ncrqx43tqZFpypKUpvt60Ka/S0DXFY73nmku3jdwLH48baQ9DliytTfcYOeyfcd4FP6tHZZmCb3cdj2jMld/mJyzBxAadsOAdYfYb3QsPz1u9z13b8IL4dvTH09omjWHUGehgM0I6z+gHOnubbrVtPWrMOnryiMIw8pY8RnrJ5iksUrwQv1PvbVrcd2k/idcmn5SMWryQrVxgFib1AVy8XAxCg9dtuTztO+n6QeOLT6l4lt9tZ4JFs5csrW3v5cxAzqOliErH2gYee31jr2ov2soecbWPip2BwqxBTrihfdttz72zpz0pf4unb9f1TdsruoiZaexhQ/7McNTSTuQw4qn4nbMJrNx3bdebyiBbDJnCFsrZDuxpRHk8v7Bj7SbgLHminsIrsMmF2aA/U3rN49JFt7aRI5+P/vfhW5v6MwzZalu+nD3Qp5zCarZc0Tnxrzg0hi4D6lzSsNrp98xu4FnqODMYxLF6VumimPXDEOWIqkhZU4hcpWpjJKWMHCk60dHmmmsAU4C3UT5N5VTa1mjxhkDbfFJ4KA97FUbeKGibV4o/qec2b+6HWd4uvFP5o06qaLU0tpEhvvHptcWTPEWT50lbTElDdYo4NihtT5/9xt+3yTeXrmjJ8Uf4RHS1yR+aLZ983fFliv4zosVRoOiriM/MvkAPRjTmym/zUlnAxIZB6qzw9Ly16aXuFTfHC8VN0domDcuLCMvoWYQrU6nZUFUb7tp4jFjSAaTDZcMw8pY8kl9OloRFihfCMPUeuvu2n6TRJp+UjFq8KE9TUF7+Wz3PlVU0eN3WlKfeD1JPFIer+JTK1y4HS+1VoPQ0wNMkG/o+d5UDgbTo7OZmRNhOhR/Fj/Joww8bT3vS2Fki7KfDvg623rWhtW39sfn7e45QZxNM9vjw+aOH0cc8j3gqfuf0nJV7n37qf6SjPN32v+Q1lV70PKo/HJ/7rW9vNuHcVTywYR+U6Pho6JgN+lM6JeJNX93aRo4sv/19V761qT/DkK1Byid9QhwfupbTpzPT/8fODJwcxaExEt6zzg9lqVFgRoKZWsmz1OiN9QLTyOCJxpvOTA1280epqjJEyjpXqXLxBIAqtm/Y2KSR9e5M4yYPjlNs+kFz0+i38tW1jfLh21w5lZZtZCmXDW3zSc26sGnpXiPDHru2eaX4o71LIn4rb67WkOxaXvE/Z7zYPO19rjHUd3ZUEtlukiHe4wR86aWXlUSrKYT6WJ53z5PUrAvFs9fUKH6b8tp0uE/x2H6XS7eN3EveIqNkGLJkaY3u7SgDxjKnxRxy+Peri39xaX3aDfUyV8bcO5ufsAQTGwaps11GXpVXG17wLQ0vso7e97S2SWMYdUY0c6Wjd8sfbq3boNXX+tIkp5PfxHIYeUseKb/XS5YuYZHSc+J36j1p9W0/SaNNPikZtXh5Xtuycm+XPPlvB6HB6zafT+q/dGOkJ1JxeC4+pfK1GOR4RVq2jfYY5Gjw75BnbSrLZqCpfZVsPLUB1E3qaCrY8rShkbSOPPrYur7bE7b23v+g+hmbwOI4pE372gYbJTfqFT1t64++91ednED900ksOC+pizhZcO6o3Y94Kn7nbAKLUdd23dPt/0uv43zFMdvGdrjx5lt8MhP/2WuDfU2wz9//4Y/VvAEj64Sa+NjczGT9mdJrFL+vbm0jRwbm5O2gfGtTf4YhW23Ll7MHbKEHLaeNOxvuwTH+FYfGSPgv5aDlCtoslClz0Q7Ndp0eja0fLROROWMnV6ly8ZR2qmGjcrFhVJu9JJRWl2sb5UO6uXIqX2sseUO6bT5y5DSt5yfP1L4MbfNK8Ufr6vrse9CWBvE/Z7wIX3+VvDcZyDIk/UadPr3Uf1uW1IkIipviCfEwXnJ7UZCG7XR4etuWV7RwTfHYfpNLt43cC5+ID8OQJUtrdK88MDwjPUecXBlz72x+whJMbFD8pjprDQvSGjSIF9FGejYtzdZD3sDGBqXRVN/61hmbp7/HQKeDoNk0fsO9vnlLHim/18OWFmGR4oX4nXo/jPYTepry4RvJWFTHhFdTRzknF4PQEHVCLa6pe5WhqZ74+OJTLl85TpswsDxrszmnp4X/9iQh75CLvtcz6ammfZS0vh7nLB2fpsAR5Nh4zLLFuUsQr/3SGrVPvm2xeWhPoK62l3iR2suEvNTuRzwVv5eljoJG2WIeQ4tVn3vsc2ZooKf8UvFcujNFf1JG6QSv12w9Rb8Nu2+Sw7fpXRPf2rQ/w5At1ZM+9kCurE3lzMWdie9iZ0aZoTEyXlPpdeIHDZd2NU81DKpUOQPDdrAiw06VKspD73KblWk02jdsdoqmN3iHCWAb5UN+KktUTtEzDIeGVeTszp0K8EWzb/wGZ5YO36FRejJ4aEw9X+1JGxhLqdD2lJNcp0KGTQ7XVP6pxtB/L0Myd0KJj2P/WxnJTWm2PNEsKaWjvTXodKdOyeFbOSExZu3SMd61La/y5DpIR8UbFcRvI/fCJ4o/DFmy5Ynu23ToNJsporEtrsISTGxoW2dx0mppn69zNr3UvXhBRyO3H5IwjzYpVRpN9a1vnUmVQc8xDrRZta8rffOWPI7aoTGM9hM8JFc5mcjJqPBKLSsV5pKLaIBjEBp8W630m65t+eLTkczm8m1aWqs0hUFUN/RN7orDAEc/ssVsBzuTLxePdzrlqKn+6lSOlVZZrWKJTC4wi5ZlJTgHOVpaQVh7zNTe5mRNujI6EUrpp6525kRuaY0cK54+0hW/l7WOkl6P2uJU+Qd9rno9qDzOBP0JViq/b5eHoVvbytGgPLN0R3xT3cu1P8OQLZWvSZ/00XniT1TOLrhN5zjFobEMuCfjhqO7WLdHpUp1jOWJzwkrU+hQNqQTNYKqVFHjo0aL+NFUPLsGNWrY5JDJnadO551OJsZFzshPsUIzQShfbvfxXDmVtnUk+E58GyWndLR0yG7upXe6ii+RMrNOKEYA/HRYKiZTQGmoI77iGNtosy3rdzgBnnv+eWU7cWUXeegjPr+u5ZWBFcnPRGaJGylb3xj6z62TIHeUHZiwEe5RxxxXvT537kQylnfecJz4qKpqGYeWyACCB2AJVqn11vBFU4ejzknb8lqa2nT2c+m2kXvhE/FhGLJkyxPda0TQd4z1LSNa6jxHNObKrzS4qtMHJjbAN6Z1w9tcnbVTaCNdatOM7sUL8qF+RqNWtqyRA09pNNW3vnXmF7/8dV2XaIMiOsFMPPGj6n3zljxGesniKixSvGiqO8NoP6GnKR++ycmoxQsdBrY+WLmInLKS7RQWloaorfb5Rf/bdnZ9XPEpl6869vD8oMOOCDFAB2tT1KhugBH2AIMpUbDxcSIwU2OQYB3eUbtMWnb2R+4IaL61eseXWXXAY6b2Nsdn2W1NM0mistuBqNQyZ3DUzARPH2mK36PWURH9/plssbXWXa968cWX/Ov6/xNPPlWtufa69VIS6qkCG1nuuMvu9cb6KdtU9doPKs4G/QlOKr9vl4ehW9vKkfilax++kUbbPkUf2SIfla+rPdC3nMJrtlzRt/GvLDkZmQzIuEHI+eWmy9kOOAayH22448676mUfSitqBFWposbnj/c/UH3o45+q6fjYyqvWIwjsyUGjR8eSzeKgj/Sjhs0aEHTwbrvjzkmGCkcBQhMdSEadcrMJUoDbBhinCIYRQgudNuTKqe8snl07+KRl9wSg4X/yqaeVRU3bDTfdXIEnuKU6NuyDIofFxptvVY/8kwjKFkNpuXe/N+uoss4m+MSSCUaYeI7xRAO87te+UTfk0NG1vDKwIvmZKHTiJtUY+s/hpxw4lBtsMF4V4PXpZ55dY0JZUsYh73D+gT08IF0FW1dSxiqjiDhE4At7PNiOHvQcd8LJE+9POe10JT1xbVveiQhVVS85gG5mhjDyBs0Y1jbk0m0j9zKevVGiPPrKktJJXTU6iw7g3vIFjMFadSGiMVd+mye6BizBxAccfDheee/rrOTrncuvkN1g2afp/4sXODGRI5woc+bMmfjMlpVvzr/wool3ulEaTfWtb51hPyPJOk46q0+5pw7qPfc29M1b8ggvvF6y+QiLqF3jOw0OpOqO1fdd2882+fBNk4zKWQam4GnxRkaQFeoA7+1IvvCQbKewsDREbbXSabo2OR+j+OJTU77IO3JPOTlRw3ZAsYtoB5EJMEBP2OBtDS3d0De8Z68M4q/4yU/XS9uQs9RP+48pvq5WF+JcsW07m0Oy/w955AZxlJbak6izLbvGD1YJS66p0IVHNi3lQRn8QBY2Gw5Mysgv4qnij1pHWZpT99bBBL+QIxvgn5xknmfwgJPTKGe0/Ia4cuyssfY6k+R1NuhPcEzptWHo1rZyZPnJfR++KT6z0uF7rk/RR7bIR+Xrag/0LafHbab/xy6Jf8WhMTLe21EAKpRfjuAzVqPItzT0bNq24aZbTBythSOBdf+8j4wdVaqo8bGGKfH9j4bgrHN+Wj+PGjZopdLbnbrZTIkOJWsOoZc02XgKg478ugSLgWjEmLUhV059Z5WwN6TbGtlKy246RvloLCm33UyKqa/e8FJ8a6CpTLpi8NHB33bHnZN8JZ2rr71uwnGiuLrCExwc8J1nXcs7FQ4NyoLDgA3T1LHFsQGe/OzRxBtsvOlSM1os70469bSJZQOSRXsMHenheIsC8omcwk8wszRwzzPo2+eAgyc5XJRWqvHX++hqnWPinV8Clku3jdwLn8hZIJr6yJLSSF2pd8xIU/ngCzqMUTNwBVOODIW+iMZc+W2e6vSBSRSY4SU+2jor+aJDdMSRR9d0Rro0StM+s7xgdIdyoQPRhcid8s7JkE0D3HKhT50hLjORxBMwYFScn/DgXWpDxT55Sx5J3+slW15hkeJFm7pj244u7Sf0tMmnSUY9XmCMTNh2EvqYrRm1k5LtFBbQKRpSbbXFNnXPSDUGeJvlFEpDfGrKFycOzjPkH95zRTfbNjNlK6hsiuf3rtAeSLxv80vRCvZnnH3OhO1CWtBnaURHcfJcLqgzxLfeaaB4WhLKUaHsWUPbw/dsZnr3Pffqs0lXu9G3t4EmfZj5Y+UZHuAAwpm0ymc/V5cbOZTtEeEkfkc2pc/Wyz06ELnnZ/VM1K77tFL/rS0mmSJ9bDLblkczfK0Di28pLzOkuCpuxO/Zoj9V78CAexv66tZB5Mjmy31XvikdS7v0RVSf+siWLV9Xe6BvOVXe2XBFd8e/4To0Fi5aVP3bbAC0bRmpTChefn4dfpQGnQ0aPVU8rsTFe8yRPjljx1aqyEDGyPBH96HIcbQwI0Qd2qhhE6149Rk1oCG0NHKPw+XKq68JjTTFb7oipIzuYPwofaZD81yhqZx8N0yHBunhwcfgV8Mn2sABPMAlF8B3p932nBSfmRUYtfAlx1ely+gehhEGCY04HZIfnnhKnfcwyiv+tzFeRJOuucZQ39grZT73vAsm8VmYggtOHjtrQnF9B4k6sc5660/ICmnAI3hlR9wU316RKeQVuVXeuv5/9s402JqiyPvv5/k2X4yJiZkwnDDQcTRwV3AHRUVFEBQURUARUFAQEARBUBBXRHFBEFEBFXcZBxFkkdUNcGMRUHBBBxBRcMFB6Dd+Df9L3rxZ1XXO6XOfe5+bFXGi+3RXZ2X9KyszK7uqGvmDP/iM0qT1FY0rrryqe9G22/d9mrL8YKJGt0XuhU/klIgHjtPKkqVROoc2fcL3Fck7hhv+Ih5r9bflqb+ASSmxw7/esqpd0aW777lXHygTnrWBY4m2nqWvELD88LHHLQQxVNaQDFkakb72ZU/bZ6CDU46usXpVfNb6m3iYtmzJI2XNEtCAj6G+Q55Z7KfqOlROi4zW8Bqyk5LtmlyKh5qtVn1KR2YIwgtBDfYVakmS2ZZya/q1hgF9QUt0edFC/7JJPEh+h45DvCIz3gagJ9DTpc94ih8NdslfWmJEXvK956ijF/lNzLb0wRrR5ag21sby9t4k5yxT5bOt8GixQhewnAIflesRTsK61SeoyX2LnmmpV8kXa2kz+jYBFW+bhp5dC/pT8hbZZdplFt06qRx5OZi23aDTMqZQedPKlq3ftP4APMxST9VhLRxp0/iXAY0V1/40FNMkv/HNM/tPtrK+aswE/Ztuvrlf8oCinibxHA4RU+evvOrqbiXyOE29hp5hahhvZFDubBI2KX7CDfxph7FSLaAxVhnzoCNZ1BKa0vRglR0NkERDstgyOBQ9HZFf8TB226gMe4RH6jINr5bOPM7HkiX6Cpjyydarrv7ZxH1lrLrRtgRR4GUsPWUdGLUh9UUXIodDcjxL3STvktdJytKz4MFvkmfhWc9PU/YsdbbPDvUdeKRes9rPoXIsT6Vz4TW2/JXKm/S61o4TgJxnEpatOg/c2CybAfJyJXQD/LXyOA1f6Ajo4zsN+Q4EIAk0DM3sbeWDNkAOCSwycJsntpL7eeoJsGQGCr4YPhn1a008yzOnn3HmRM+qXuuz/qxhSP3H0K21Mmr3pm03aKrtWvrepLI1tj8wSz1r+K0v92jL+JcBjfWljbMe6zEC7MRcc4Am/bzcaoUKZ5A3STh6tTe+q7V+y8F3ytLsKEcOzOxUk0IisLwIsNyBZQ/MUMDRz7QyEOAtLzMwo6/grAwOk4tEIBEQAukPCInlOcbBDIIcGdBYnhbIUhKBKRAgiMFUVjYx9Bv6iRxvWrQfwCTfUNfzq+mYAY3pWytlaXrs/JPpwHhE8v9qRADHkI2XCRAzIyDTykCAPSBYCsRXd/zG0SuDw+QiEUgEhED6A0JieY4Z0FgenLOURGBUBOi4BDRY48mPDRfZzI2BPT/Ouab7tXW8ozK2johlQGN64FOWpsfOP5kOjEck/69WBLRx5DM227zfp2u11mN94ZsvwvC1lNqGoetLXbMeicD6gED6A8vbihnQWF68s7REYDQEeLPODAy/kRVv1fTj3qGHv6O6LGU0htYhoQxozAZ+ytJs+OnpdGCERB4TgUQgEUgEEoG1i0D6A8vb9ssR0Lj7nnu6/MrJ8rZrlraGEGAwz+feWFurz6FxzrVfXH/DmkCCjdsOO+LI/jOUpU+yrgkgZqxkytJsAPJ1Aj6FyowoNvDKlAgkAolAIpAIJAJrD4H0B5a3zTOgsbx4Z2mJQCKQCCQCiUAikAgkAolAIpAIJAKJQCIwAgIZ0BgBxCSRCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCy4tABjSWF+8sLRFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBEZAYH4Bjbu7u+++p2P/jNxDY4SGShKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCJwPwJjBjSgdffdBDL0y4DG/UjnWSKQCCQCiUAikAgkAolAIpAIJAKJQCKQCIyGQAY0RoMyCSUCiUAikAgkAolAIpAIJAKJQCKQCCQCicByITBpQAO+ys/kDI3larcsJxFIBBKBRCARSAQSgUQgEUgEEoFEIBFY0wiUgxMELrruHgIYDqHyMxnQcFDl30QgEUgEEoFEIBFIBBKBRCARSAQSgUQgEZgHAuXgRAY05oF30kwEEoFEIBFIBBKBRCARSAQSgUQgEUgEEoEREJh7QOO+L5384+67u/83Ar9JIhFIBBKBRCARSAQSgUQgEUgEEoFEIBFIBBKB6n4Y/ZKT+5adWKjKQZBgyUkGNCx0eZ4IJAKJQCKQCCQCiUAikAgkAolAIpAIJAJjIFALTmRAYwyEk0YikAgkAolAIpAIJAKJQCKQCCQCiUAikAiMjkAGNEaHNAkmAolAIpAIJAKJQCKQCCQCiUAikAgkAonAvBFoDWjYL53Unrn77ru7+38sQbmnu/uee7rcQ2PeLZn0EwGDwK23/qG76eab+zVl5nKeJgJzQ+DOO//e3fjb33Z/+etf51ZGEk4EEoH7EZi3nv/Tn/7U/fZ3v+v+8Y9/3F9oniUCicA6QWCM/ph2ep00XRa6DAjUghN2yUkGNJahMbKIyRD4+ulndPsecFD3iU+dNNmDqyC36nb0MR+eeID4ldP+u3vQQx7e/csDH9x9/MRPrYLaTsciA2fwQQa+f+ll0xHJp0ZBAEfr5Tu+uvunf35A9/ytXtwPgkYhvEKIWFmjb06b0FXrq86aFhP/HH0ZjKbRfZ7W+vx/DD1PQOSwI47sDjzksO7a636+CK7v/eDS7pGPf1L3gH97UHfwYYdncHwROvknEVheBMbojyvZTqN/0EORLlpepLO01YpAPaBxT2eDGqpj7Zn7Z2cwUyNnaAiz/ogy+fVvbsw354tQmf7P+z/4oX4A9fo37jc9kRX6pOq27ctf2SE3kyT4Vad8AAAgAElEQVQ9y+DyjW968ySPrqq84AI+1POrp319Lrzj8NNnOa7VpDc6zL7gPEpg9JRNNuvbYsPHbtT94LLLo2yr9pqVNfrXtAldhbyujzprWkz8c/RlMJpG93la6/P/MfS8+u3DH/347jvf+/4iuNQOtMXLdti5u+OOOxbdzz+JwLpEoMUurUv+xi57qD8yi4rZVPTp0ixJ9Xf69Eqz0+gf9FCki8bGMumtnwjUghP33uvuDWqY6teeWRzQuC+occ+9y07W/Gdb5YCko2akaYZT4bk+Dg5Ut2lk5YZf/qp71W6v67Z7xY7dFVdeNQPCK/tRO8icV0AjB6BdP9AZcjQwCid++uTu2S/YsvvAhz9aDHysbIkqc2dljb45bUp5GkZOjvs0um+Y+vqTYww9rwFONIj4wx9u6/Y/8OBui6237c4+97z1B7isyXqBwFobAA/1R/VlghUlf2gl2+m11p7rRSdcYZWoBSfuvbc0oEEVas8tDmrcG8xgH40MaNw3oyAdtXF6gQb9GdAYB8/VRsUOMksGfNY65QC0LaAxK84r/XkraxnQmG9rZUBjvvha6hoERQENmy/PE4GVhkAOgBe3iPpyLaCx+ImV9S/bc2W1x2rlphaciJacUM/aMxnQKEiCBuAZ0CgANOFl4ZkBjQmBW0+y20FmBjTm16jpaHT9si/0Ns5iBjTmJ2tQzoDGfPG11DUIyoCGRSXPVwMCaZcWt5L6cgY0FuOS/9YWArXgRAY0RpCFtxz69u7Jm2zWPeIxT+gdYjZsfNIzntVfe/HLXlHcQO+2227rN0Z71uZbdBs8/JH981u95GXdZz73+e7Pf/nLEs5+9OOfdM/bcpuO/Bdd8p0l97lw0imf7ctl477ScoQj3vmePs/e+x3Q/e3OO5fQQXG+413v7cuiTvwol6nm8Bwl1vZRV3D45lnf6v73ppu6A97y1gVMokECayQ//6WvdNSZ+vODxjnnfbuPqM0S0Ljs8h92z33hi/of59ff8Mtun/0P7B79xCf3G2py7wtf/urCRmjg/ZGPHd9t+pzn9/fJR36eqyXWNZ729dO717zu9d1GT9u0e+AGD+uPu++5V3fhxZcs0Pc0VLdS8Ats2DwJPF+y/Q7d1T+7ZoGEr9vCja7rjjvhxP4ZymdNNDKz4y67Lar3scefEMqXpcP5zTff0svBJs9+Xr8BqcUE2pSh9vbPtv6vldEa0EAmP/TR43o5gkfkiD5y+Dvf3a839bxY3smLg8CRuvATdv65Scvxzw/9n5U+ih6Zo70f96Sndf/+4If2+14ccNAh3TXXXbekePop9SUvGwPy41w4cN8m6TmOpUQ/+vTJn1nQHeA6pDug5WUaLA49/B09/9Rj46c/s6MeQ/1RGLxhnzd1T3/Wc7v/eOgj+jq9Yqdd+n5a+pqDlTX6JnTQD/BOHdCB6Cb6eokG9WiZ8eMxkn791MmndLfffnsJ2ubr08qRbV/qjx6mzvAHBuhpMKnVHya5f9bZ53RgzrPYQ/TtqV/8cn9vloCGtzOUBV3oUw79n3JlQyLQPI0WWyW58n1rvzcf1P30iiujYnr5pS/tsdc+VX2LncZeP3XTZ/fyJWK+T+i6P9K36Rv0kX990Ab9kb6DHGgQFAU0PA6Wrr8X2Uf0JPZlKA3Zedmsml4ZKmNdyzw4Y2/kPyD3tf5C+yAbyM/f//5/S6qHXdz+la/q8+CvRUlyQ5nnX3DRkixeZtGF6EQ2gP3F9Tcsya8Lag/aF72IzkM+2YScfZSoq030QfLQ7+h/yteiry0dnU9ql/Sc16uttkfPtxyRMzYz9j47fixyHqVWPH2fEy3pAfxLsMVfAWfZaejbZPW4vW7PvWwM+QrRs5Pa2AxQWRTzfBYEkN/4N8KSk/s+3bpml5zIiUXR+F9kAGhIHL7HbvzUJfn1/GbPe2H345/8dFGbs8YOI0meKECAYWRgLRqnfPbURc/z5/e/v7VfM0uejx738UX3ERAGIxgC0fBHeL7ku99b9Bx/5DiRn8HlM5/7gkU0PL+sD956u+0X5VFZKG2CJ0d94Jj+/jQzNKzypE5PfOomS8piAIdx+tWvf9MHDVS+PbILfCl49Jsbb+w3U7P57Tn033TgW0JDVwtoYBj5CgC0Irxt3Ti3ydL95Emn9E6+5UnnbAKHPJUSX3rY8HEbL8GM58HkzG+dPfOGnbUyqPe3zjl3sIyhfoQsf/ErX11UTTt4FR72GAWZpilnUaEDf2alz0B4r33374MSti46Z7BHf6ePK2lgqTz+yH2bpOdK/RF9hd7ydPSfNqWeUbIyjXPo9Ydo1PrjEAbQ2GHnXUK5tzKB3kEv0H9Vrj3iuN9yy++jagwGNIYwIng4yxd9ZpEjte+ee+9brT+6qeS8o1MYCEXYSR8SFAHPqJ+FoJqL1s5AR3rStg/nlEV/iAJElkaLrRqSK+zVu9939BJM/ucb3+yDisjs5T/8kanF4tPjP/HJHg/6DhvzKtk+4fU8eejLBKdL9vo5W2zVnX/hRf0gNApoWBx8X7f3eEmCvfAY8x+9QjuUUs3O00b0s1nsPOWua5nHvpTaAIwIaHk5/OypX+hllCDWL3/16yXwnfftC7oHP2zDHnP2OMFv8wn/Dvpebsg3JLPwi+xYeyD68iF4kUKQxvZl78/S39GpkWxwDdn3gXGVUzpOapegM6RXa7anxIe/PiRntBPy7lMrnrbP2f4oPVDCGPo2SY+X7PSQbES+gugPPQuPJRurekS6SPTzmAi0IIDein8Z0GjBr5pHX0pA+dOhX7Tt9v0bdRQUUVf/RosBMoqevC/cZrvu3PPO7wMCKEMMHZFX7uHUX/fzXywq++1Hvqu/t+Ord12y0zGGEQPJs/xw6LzBqikVfSaOZ4nIwxeOPjsqc8417sEzbxBsssr4MRs9pTfw8IojRx2uufbahewYQTlIKDccGvJAg68nUDfw0RTwkmJeIBicqJ44BU94yjMW6qMyMNbUhfK3fPFL+8H7yZ/53EI78DlU7pFnp9fsvuQNG7joM5YYgHe+56j+7fFdd93VB0j4z3WcAej6JCPnnfqhYAZ0VLfIMIgudcaI77zra3tMqfeVV13dDwDkoBz01rctkQ/oW/nEKUYueJ4fzhvyyZseffXCGl9fz9L/ljI233LrjgEebRCVoc+ccR+e4I2+CIaSI+7xZsPOcKFP3HTzzX19dt3jDT19jqoj92y/mbacUt399VnpW5lB5mhX2pr6gAMyQJtzzw4+6NfkOf2MM7v/etTj+h/nwsHvpF5zlOi/CkLQZrSF6DCwk+6gX0cBQsk0/ZXnLQ30ou2PyCR61SaCuQQPaW/qykD3qqt/1ssC7WmfR0/b9oWODWjwth8+bN+hfvRpDVyQl2hQPy1G4CVZj/S+rWvpfFY5Eu/0JYKZ4GnlCL0sfP1bQXiqySF0aBNwZZYDdLzuK9XLXkempHfYFJk3i5ZPyuG/3mRy7t+AWxpDtsrWibZHBmSrsG0KIiJzDM6tXDHzg010qat/eaA68VaZABl5mNFon1efiPQ8z9OX6dM8+9IddlrkR0jesXP0uYiGxcHrV3sPPYw88Eli+iL3ZAcoGzvzwx/9WFVaOLbY+Yc84lG9/YXONHZ+Xcu8yqf9X737Hv2sWPw9dCcvUuRD+EEn/hAvWZDfaMAvOw4uUdshJ8ge972fV5PZmj1Qw6ns/9zwMX1/xd9DPmh7ZgsgsySrc5EP/Bz0KLxhb9Gf8McMktqMEJWr46R2aVbbo3Jrx5K/Aib0C738wa9F7m1qxdP2OdsfaU8CnbQds7DAFNkiPz8wt0l6POpPVjYm8RWgb9t7Ghs7pM9sHfI8EaghgI6JfxnQqOE20T0prpqjZh3nSPlRoFXQftCJ8cMIYgxtkIDndA8DiLLCmcKpsklvg5jpYRUvS0+YBslzJb5w4HCOIiNslXFp0CI+cIZRiKV8VumivCPFLFqlo5Qnz+PU2bryDAMiBkbcx6kiYOMTBho+cXr9bBkcGQYe4GUHiaJBZ8NBhX4UfIpkhXrjgNewgb7qFjk6oku50ZtU+EKmuP+MzTZf9EYQ2jgrBHC4X5IDK5/ks8ZX9a8dxyqDJUIMxEsDQJwAzRhA7qNUM/7KP0Y5ohUdZ6XP4II+WZJF2598v4efmjxZfktY4ejw+WBkodQWdnATBQjFQ43GGWee1deR/sHsHptwmFkewZR7P7BUPgaV0I/0otXL5In6DnQ0iARvcPepBSMGn9EMD5xjlrhQvtf7vpzo/6xyJN7BN8LQ91uWbtmk9inJIboHutCnjjU7aenac2tnSnzactDtzFKwydIo2SDlH+pbtqxoYH/ku99XratsKoEe3srbpD4R6Xlrv0qyagdhEQ2Lg9fh9l4JI4IY1Jm2/OBHjrWs9+fLYefXtcy/9/0f6OtPUEoDfQvEqV/4UkdggKCDnaXBoF0BQl782KR76BiWroCvt18KltEHeAlmk2SWdvOyTz7sAcsSoBsFh4d8CJWFvmJpNXwStPYJnY/vxSC8NDPPP2P/1+Rf+cawPaJVOlrbUPKJ1Nei9mjF0/Y53x/hbei++Jce5+iTZKOko2u+wqw2tqU9Pb/5PxGIEMDuxr8MaER4TXVNiqvmqCnogLHBmSklTUnEYNj179aQ8ebcJs3ewGmEB+8kofy1JMUbUdHBmPKLklXs3oGxyhYnrpQsDf9Gyj4jRw+jGylmmzc6l/Lk+WjpDc9I8TMQ+uMf/7iEjN6iRM4gmelQPMcxShglyo8CB15WMCSHvO2IwWAG5ahuEV+iGwW8xOPF3/luHwiInhftUpBHNBTsoX6R8VW+6KgySo6QntEAtFYGuPmBlZ7nqDZmwB0l3R+SsVnLicq216alL+cXjGr96WfXXNO9+eBDe0fWvy1Te0TyYHksYUWwj6DfUHviXCNX0SBTPFCPUn+lr9FXyYOcR4k8fkac8qmMDR+7Uf+2S9c5Wr3kda7NZx1odCn/bRrCKKq7fV7LFKKgi81XOp9WjqAn3ktT3MmDQwz+fuo5OlBvjEuDO563QcaanSzVz9qZKDin5xhcauYDcm+TpVGzVa19i4GbloJ6epL5Ut+SjovqInmNnsX2M3iq+RG0iYLqEQ2Lg9fh9l7JV4A+yymQB68/bX+KZkSpPXiTzwy6iIbyDB3XlczDl/oMOER+ANdK+kgvl3w/kN+BDjjhk5/u29nrGi1J8XbeyqyXRYuj+iE6288QkQ9R04PQknzyUgGfIkpeP0Z5StdEP5JdPTOG7RGt0rHFZ6edmRVFcJG9kGxqxdP2Od8foTd0X2VKJn2ftLIxra9AGdPa2Jb2VB3ymAjUEKC/xb/JAxrQib50smb30BDwUlzeQOk+RwUdorf2Np+Wj+C02MAF4MtxtI6aHAgpf5VjHX/RjIyYLbt0ztRtTR23dMnfqmxlgHywxZdpgy9eMfu80f8W5VlS/KKnOglTXW89Ytgi55/nraywfKc1mMGztbqJbilIw/O1esnJqg1qoCGni/pFxpc8pbQcZVA2ju6rdntd1VkekoFSHez1lnJs/knPa/TVDkP9qVZmTZ7scyWstJZ7aBAuHYXMeP0hHmrOMbyIB/+85bN0zp4s4BT1Z8tbaXAiuhpM+kG95Q8+bRJGNdtAfr31HMLB0m49r8kRNIRtrf5qJ193Bdpp21JASnzKNg1hofz2KN1FOaWBtvJLz3hdaGnUdJf6Vou9lN71dbKBFT/AtDLn71EHYR3JK7YfDPxAV3XXUQPfiEYNB3uPIFYpqd5e3pfLzpf40vV5yjxlSMYILLFcD/+sNal9/QxQ6Rf8PAI+BC38XhvC3fuRktmovS1f8KlgFLNMbBJtL8s2D+e2z0OLDTPHTMKnVhfp1VlszxDP0ldDfa1EpxVP2+civTR0X+VLj/s+KdmYxVdQGaVjzca2tGeJbl5PBCwC6K/yr+vQwl4Tl/NnQMNiu3A+pLisERlyxnjrzPS2yPmXwbODTjkQuqaosjV4ujak/OGTKa3f+OaZ/Vcudttjr36WgdaPRzy1Kls5WET/cd5rSYbEK+baM7rXojxLil80VKeaQSUvkW9mlLCWcv8DD+7f1unLEWDlnX+ekazQXkwvJ3DFLuTR1E3xo2OtbqJbc0Zq9RLmtUENfNjNZSPjK16j4zzKYO8MjCmzk2hXdiHXdF3aoCRDQzLg+Z+2HE+n9H9S+ppt09KfSmXW5Mk+U8JK065bHD4tTfHtMSkPyHkpMYhh/4zPff6L/awU9KjdIT7qz3ZwWaNNmTVehzBi7xne4pV+9DtmcSCzk/Yri8ekcsSzJd4tXdXd6zQ5yy2BGA1CajrKlmnPpbta8JG987y20lDf8m/BLT86ZwkUOtyXxf3SLAxhWZplofteXm2w3w9GxY+OahdPg/s1HGr3RJuj7I3vz8tl5y0vyy3zlI0Po2WNyCT74GDfWIKAX1BLVufYIKCCVVzTW3UbVNM1yiOgYpNkFh2CLinpGa6ji6Dh205t2tI/2bwduYcOyxh2ee2e/V4abLSOHzlLKsm/pTmG7bH0/Ln12Yf6mn9W/1vxHOpzQ/dVXkmPSzZm8RVUxjQ2tqU9RT+PiUANAfpl+ZcBjRp2zfeGFJc1YOQdSlJMPm/kpMhJ1KwNzcawkX0NJIn8R8YGJcWsAgbjGCj/Y8CN0eK656lV2eKk83zk+Hk8hKc3uD5f9L9FeQrfEn3VKXIGKZNp/GwEpg3oLF4YeZz7Ul1VN/sM56U1mraOtbqJbs0ZqdVrCBPxYWV50oHXWGUgw3wuzjqUFk9kFZnlWqmNW3gZoxzhFh1noT9Jf4rK5lpNnuwzJaxK1+2zOpd8+vaYlAfo+MQbQz4VKB1lZYFz+iP9MurPVp4j2rasafqPMPI81f5P2q9mkSPqJx5929i6q528/tb1CFv7POeS2ZqO8s/ov7AHtyF8xJPntZWG+PTPixd7LJVFHtlrv9xIfaG0REc0PaZjyWoNh9o9W2/VwcvMJNiVaNhySufrUubF07XX/bx75ateszCwV5/GL2APidqnbb1PphcFdtaG8OFIkjx5ueCecBcPLUffdiqvpX+ynIalFtoU05ZHoI4XDNHeIsKudizJv32mRWcpv+rl66v70XGSvhY9zzWVO4TnUJ8buq/yS5hINlr0mWj54yw2tqU9fXn5PxEoIYDuj3+TLztZsuTk7nu6XHLywQ/1g6eS4qrNuvCNZt/CyJApj71HhJ5GJUiBs67lKcqjyL4Us80jehzJz4aUMkgENfhGOoES3jaw3IQphdSNPJ6nVmVbe5Nl+eFc0fdJDJBotCjPkuIXDdUpchy0uzlY4LiAC8Ybo8GmmbxFqRkQGTmex+mh3XAA+M/bE4JLpVSrm+iWZBCatXrp7dAQ5nY/A+o5SSq9pfc0hsqwb4cYrPJGilkyzNRghhHO1lAbD92HpzHK8XWz/2ehX3oLbekPndfkyT5bwqq1PaElB97L16Q8eP1j35Si41ga9453vbf78tdO67/Ugf6rlSH9GOk2iwHnmg0X6YUhjOjrfJa25UdQepI0ixxRTol3y4Mw9E4xO/CzN0mEiX2ec+3DUdNR/hn9l+6inYb0jt5Iel5baUxiqzQjwZcF39jW175+7163I/8ku++GfTuvenIU1h7TSfwILWHyNKBfw6F2z/Ioe+P78yR6aRY7vy5l3uLAOftSsLcUM9Ue/cQnL/hSBFijjcN5RnKjWbNqc9s3lEezbTVD1+YRL5JZfAkCDS165sKLL9Hj/VFtGtFflNH8wV+55Lvf6/U7X4myQeWWlzSG1MKpsIhkV5nGsD2iFR3tbBhvc6L80bVWPIf63NB9lV3S45P0SdGyx1ltbEt72vLyPBGoIRAHMwhyZECjhlvzvRbFJQU8yZR+P60QhrR2E+OJosMg+k2clAcnSsqkNH1WTjqDgfcd/cFwI6ua09+qbMXH0NRkhBWMcFy9s9TSICqnZgxLil/0VaeIhgb+fNXBfhJUz3JsCWgw8GLwTdKu8LQBwREwiFKtbi0yWKuXZEZLl6Lyuaa3RC0DC09DPPq17T6fnPGoDLt+lz5Vegs01MZD98cqx9dN/2elr4HkUH9SedGxJk82fwkrNgimjYbaU0FW8mommehPygMyZJPkFkc+2tmfvLUyrG7zvNlyOJdjGOnSIYw0KPE0Z/0/qxxRfol3y5sw9AN36RTatrbnArQ0gJ1kwCQebDl+Y2rl0VGzFjVY1HVLoxYUmaRvlcpSmRqESq9qs1Bvs5Wfo7CO7I/aasiPUFAnolHDoXbP8ihdDj82yZ8YWq9vdYKnYelF5+ta5iOe7DU2cyeASZ8otbPqIJykx+yeKsqDvsHX0B5qCo7ZMiWzdoaHvd9yrjadpn+KPgEOAioKbNj6KM/QsSb/enYM2yNapWOrz156vhXPoT43dF/lSzf4/iTZmNZXkGxOa2Nb2lN1yGMiMIRABjSGEJrxfoviklJgmjwR/VKSw+OnqSq/vgLCkhK+iIJB9GvYpUAwTAyQMaw+j+gpsl9bX6fpkNChrja1KlsZZ2iwtriUtAs3+bxiLj1jr6vukSOnfCXFr/uqk6dh35DV1lXKyfXOP/QjWcEJYHYGdaZM/+ZEfNXqFtHVczqW6sV9K3fRp2xFY5avnGhAiGGsfelHX3wADz/waDHOLc7ykAyMVY5w88dZ6ds+WetPyBZ9ih/nNtXkyeYrYdXanjj46BcCdv5Tg5Py4PVPi9OpN52+P1NHG9DQoNPW3Z7jnCOTkcM/hFFpYGPpT3M+qxxRZol3y4/ayes0+yaztoO+3SQzws+WFZ1Ld4F/aakGz9lZEd7mWRper9gyW22VLYuZGPz3SfZMA1fJUGn5J88L60heW/0I7d8R0ajhULtn6yZ7g+zYZGegzOsrJ+ta5m19S+dqQ7W7z4dTri/RvOeoo3v/zOclj2bg8tUTAnQ+j+hKZiMdqzxDR7XpNP3T0hbf9FXfB22+0rmwi2RXz4xhe0SrdJQfN+Szs4cL/YajTa14DvW5ofsqs6THZ/UVZrWxLe2pOuQxERhCoBzQuG+WxgQbg+aSkwDtlmixdepLb+EZcCgKX3La5ICzpGTzLbfuHWycHJuUB4Pw5E02C/MovwxD9NZRefimOuVhoPyAolXZIoRsggkNZjewPCNKdiqpd5ai/P5ai/IsKX7RUp28QbXOe/SWhOf1DXbq6Z1/7peMHM9pM9gSPrW6leiqThxL9eIeA46dXrN73z58SvA3N95oH+3PeUsEb9SNX21QsOThrutnpDxni636Z0vLa5Ddl+/46mIZLW8ACQjRdvBYkqEhIz1WOREOXBuDvgZHfB6Y9dxRUgDK7qmjfC0DA/KW+osdvJTak37PzC/aInIMazItPi0PXv9oxlTJcbY61fdn6EpXwh+DAfCKErKvz0xGbx1bMKoN8JjdQDseevg7Or5+1JrGkKMS75YHtVOk0zTDjEAlyxSjxEwFvbWdZsAk3UU7QeeMM8+KiumDwbRzNLCzNIZ0l/pWSRdTuPQMtrG2qbNk9HVveGNH0Gwov7CO5PWHP/px99iNn9rXr+RH2CniEY0aDrV7FnDZm0i/Sh4omw3GfcLWSP/WdLR/Tv/XtcwzcN17vwP6zadL7a42rL0V1+wddDN9x88oor7Kw6ajBDOiPMJFMvvCbbYr6hA+3f28LbfpAw3waJPadKh/fu2//6fffJv9Q6IZkjagMTSTyJav8xa7NIbtUXmlo3x2ZBQbRr18QleDN3m8bWrFc6jPERTFNlBGbRZcTY9LNqbxFaS/prWx6guRLvJ45v9EYAgB+mH5N8vGoHz1JPfQWJiKjKP1mc99vl+2wTp+rwA1WCcfa/7td8pvv/32ha9e1Bw2GluKEgVXUhIMuLnPrzYNUZuIku/AQw5bZKDgn0+SYWxFyyvtIWVshdMOCpiSef0Nv1y4DRYnfvrk7j83fMzgho4LDwUnLcqzpvghqTpF2Ap7Bjd+JgV7jWi5DHhFzr+ej5wGgjwKGETrT2t1q9EVTLV6kYfBiNqazb4I1DGTgusMxnDOtnnpy3uHiPoNDQpUrj1qgM2Ag70OrEMEfrQN8q8Ami/DDkAJwNxyy+8t+e7Syy5fMP7wGDncPKA3ndSXN/jIun3DOlY5i5gzf8agbwcuDJT4woeS77sEE70+0ls9cMJBRweRx+ol6NX6iwaqUXsSTDjmIx/r25P7DHR8qsm0zSsevP6Rw8+MNs5tHZEtZIyyqWPUn207IN98IcfTIVgEvtAgKAPuPom/SN5YR49Ms+fOO99zVI+znodfBucMUqG/6x5vWDKTRnmjo+V/2v5Q411lqp0inWadehxm+qCSrR8DMuoY6T7lLx2lu3geOgTqL7jo4kXtbfs+9oVBj02WhtcrNh/ntm95W0WdKFsvC8Dd6jFPS7Pf4J1fbVDKs8I6klfKRhdDJ/IjsKnYjgdu8LBe3iIaNRxq92y9ZG8iebfBeWR+n/0P7Pc3uvKqq3sbTx9C3hkgUY+Ihi3Ln69rmefFhj4Ljr3Gr7GJNtCSE146lQKU1vcCh2jWjl3iSZ7asjjvPzAgt0myAR38F8+32nSof7JXFbKHXvXLlLEd+La6z/mkqdUuzWp7WviyPju2zM5ytP4e8kyw0aZWPIf6nH2R9tIddupfDKEHJrHTVp9N6ivMamNr+szileeJQAsCyH75N0tA4+4MaNAAGFj7VhmDETktKEM24JSDjfOMU8R0ZAwAz3FkuigNVkqaQk1+lBNTynzSzAvyDBkoKW3y8olW3tDjFGmDKyLQRPW57wcUQ8rY80WEWZ+BxdnBsIKBPrWJQ//u9x09laNDWS3Kc8iBV50iZ9AaBtpx46c/s9t519d2mz7n+X3b0X577r1vz3/k/A8ZORlpsPZvvWt1G6ILNrV6qZ3OPve8BUcdHuyP2RUEOJAnrg8NCkTTHn0fQBZsH7u38xEAACAASURBVADTY48/oVqGxQi82Yxsx11267/Sw/M4zOzrAI8lZ9m2o+ro9zkYoxxbd38+Bn0bhKLubOoLnuq71I2+7Ad34sX2ffISSEJ32FTrL+gpaNCXeV7tCQ/q5/B1yNuOWOQMin5NppWHo3jw+sfrXuqNLKCvKJ+y+aQgfTnqz3ZwdNIpn12YJQUd6oB+Ut0IfpVmIIi/SN48RsgsOt+3E/2rNHPNYuHPZ5WjGu8qS+0U6TTysDGggjKRHGJDPnnSKb2MDNkjlWmP0l3IGPqBPs652sl+Lhtcv3/pZfbx/tzSaNFdtk7WVtm+hf1Fl9SSfZsMz9EMH/u8sI7klXzQ22HnXfr6Q09+hGSV4B5Lu2iriEYNh9o9y6PsTSTv5GOGH3YR/vyPfokfMETDlufP17XMW72LbIA1s2o5Sl+APV/jKiUC6ArqgBFLHHyyg1n6FfWuJSuzth9KNihH+Hs6ao+h/okN1xJZ6CF/+Iz85MdxHV+uZHd82f5/i13yepV60ff5cQ4PYFCyPb7M6L+vq8rwPnu0+Wsrni19zso79eLnZ2YP6XErs1Y2rD6LfIVZbeyQPotwz2uJQAkB+n35lwGNEm4TXceAo8CtMaMj+0RUlVkc0SdScdLOOvucajADenZNXClib6P/KNZaQjhYVuI/wUVdWBv8819cvzDA9LRalLEvmy+FsCmmFLMMz+577tUbQBmCkrPk6dn/LcpzSPGrTpEzSFm0NZ9txSjYOtCmTMfE+HA9cv5Vt5LTQFswlRja/PicLtdItboN0eX5oXr1hXRd/waZmRQ4pDgHOCof+uhx/ddu7ACwZVAgmvZIH4g++YazwGDFflWnVAaBF6bhWvzBizdjvFEfamP4ueLKq7oXbbv9QjtGyzLGKMfW3Z+PQZ83b1b3CBMGzszMYOZFKeGw4TwyO0HP+T4+hCXyid7SIFN0ONInNGst4qEm0za/ePC8kYf6oQele1U+dSI4jCNHX476s5fnqG8jV8hJ7TOM4o9jlGoY0U7wj9xPm2aRoyHe4UntFOk08Vz6jOXW223fD/rpy7RNSfeJTnSU7uJ56FAWdNXWHGl/+gH9IUqeRpTHX6v1rUnaTPq5tDeWLVdYR/KqfJp9pIGbcMCGsy+W6hrR0D1hKZoca/dsPtWnJO/kRc+ff8FF/VfTnrX5Fv0yBWaB/vSKK3tSLTRsmf58Xcs89oPAktc7LfpCddE+DbVZtMIpsk+iY48lmR3iS+W09E/sBro18mPRu/gwtVlLlt/ovMUu8VxNrw7Znqjc6NqQz44cRqkVz5Y+Rz3x0S3efkZPix4vycaQrzCLjW3RZxF+eS0RiBCgL5R/GdCIMJv6GhF1FJTfIMgTpEH4JCrONm+9h/L75+fxH8WNwsNhhC+c/Xkm6ryS6j9pXcEH/sEL3MBvfU9+ADhLfcGLvoJDwJtp+s4kiT7El2JYp8002Gn7EHWCj5K8j1VOqW5j0Qc/cARPApo4ha2JtgBLffa29TmfjzbQMiX0G3VbrkT9KZtPtrL8ZpL6ex7nqZugzfR7ZtpFm7V6Xlr/jyVHreWV8tGPxpaByOmnvsgYOIJnqf+W+Jzk+ix9a5JyJs2LjPPCYZo+P2lZY+fXgK8WFBkqcyXIvGSD5bno33nK4RAe9j58MXtI9nUefKkP4gfxm9V+WP45n8Quzdv22LquK59dPMxqNySzk+oNnhvLxvq2zv+JQAsC9IHyL/50K3TLz7B3BstNcslJC/6ZJxFYNQiwfrU2ENSaXt728CYwUyKQCCQC80YgCmjMu8ykPz0CvNGtzTiyyy3YIDRTIpAIJAKJQCIwhEAtMMH7s/4XEKk9d39A4+7u/wXP5qVEIBFYRQgQxGCaKJuy+o2+VA3elmh/k3l9hlJl5TERSAQSASGQAQ0hsfKPvPVlOSAbGPpNm8X9t8+/sF8CRmDcf8pZefKYCCQCiUAikAhYBGqBCRvQ8HODa89lQMMinOeJwCpHgM5u9+5gk1s+ScdAgh/nXMMB5UdensmUCCQCicC8EciAxrwRHo8+Sw/0tSz2XGHzQpZi0IZMV2fvEe39EW1COB4nSSkRSAQSgURgfUKgFpjIgMb61NJZl0RgBgSYpcEMDL/JmTac08Z7hx7+juqylBlYyEcTgUQgEViCQAY0lkCyoi+wSbC+emPthz3XZrEruiLJXCKQCCQCicCKQWAeAQ1oapZGLjlZMU2djCQCsyPA4IEvX/B1E30GjXOu/eL6G2YvICkkAolAIjABAmz4d9gRR/afi4w+yToBqcy6TAjwlYvPf+kr/adJZUf42glfOrnw4kvWxCbaywR1FpMIJAKJwJpAYNqABuDUns2AxpoQn6xkIpAIJAKJQCKQCCQCiUAikAgkAolAIrDuEKgFJuyyE89h7bkMaHi08n8ikAgkAolAIpAIJAKJQCKQCCQCiUAikAiMikAtMGEDGn6Xv9pzGdAYtYmSWCKQCCQCiUAikAgkAolAIpAIJAKJQCKQCHgEaoGJaQMa0CSokXtoeLTzfyKQCCQCiUAikAgkAolAIpAIJAKJQCKQCIyGQDmowV4ZXcfsjElmaGRAY7SmSUKJQCKQCCQCiUAikAgkAolAIpAIJAKJQCJQQqAc0Ljn3oDGfUEN/3ztuZyh4dHK/4lAIpAIJAKJQCKQCCQCiUAikAgkAolAIjAqArXAxCzLTnLJyajNlMQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgUTAIpABDYtGnicCiUAikAgkAolAIpAIJAKJQCKQCCQCicCqQWAeQY2cobFqmj8ZTQQSgUQgEUgEEoFEIBFIBBKBRCARSARWJwIZ0Fid7ZZcJwKJQCKQCCQCiUAikAgkAolAIpAIJAJrGoF6QGPx5qCtXzzJGRprWqSy8olAIpAIJAKJQCKQCCQCiUAikAgkAonA/BHIgMb8Mc4SEoFEIBFIBBKBRCARSAQSgUQgEUgEEoFEYA4ITBLUsMWXnssZGhalPE8EEoFEIBFIBBKBRCARSAQSgUQgEUgEEoG5IFAKTNx/vev6z7h2Xdey7CQDGnNppiSaCCQCiUAikAgkAolAIpAIJAKJQCKQCCQCFoH7AxfsmVH63RvMyICGRS7PZ0LgT3/6U/fb3/2u+8c//jETnXx4/UYg5aTcvrfe+ofupptv7hV3OVfeSQQSgUQgESghkDamhMz8rs/TdmV7zq/dknIisNIRKAcyFOC4f5aGrUv0XM7QsAjleYjA935waffIxz+pe8C/Pag7+LDDc0B2H0qf/9JXun0POKg76gPHdH/+y19C7Lj497//X/fhY4/r8x56+Du6m2++pZiXG5899Qt93g9+5Njub3feWc079s1rr/t5d+Ahh/U/zidJKSdltL5y2n93D3rIw7t/eeCDu4+f+KlyxoE7Xz/9jF42jj7mw91f/vrXgdxr+zZO+GFHHDmVLLcg94lPndS3BceVmGbpyyuxPsvB00pv01kwWB/kIW3MLBIw3bNj2a6o9GzPCJV1c23e9nLd1CpLXekIRIGJxdfuD2gMzdLIgMZKb+0583fnnX/vbvztb/sf51H66mlf7/7pnx/Q/162w87dHXfcEWVbc9e+eda3un9/8EO7x2z0lO7HP/lpsf6//NWvu6du+uweP/LzXCnxtmLbl7+yz/v2I99Vyja369/53ve7hz/68f2P80lSykkZrfd/8EMLfeiNb3rzkowt/ZCHRAcZQVYylRH49W9u7J6yyWZTyXKZ6v13Xv/G/fo25biciVlyzJajfrWg1ix9eTnrs5LKWldtuhwYrHR5QJ8h07VZbGvBxrT27+WQGcqQzcEHjGzXLHyshfacBZ/lfHbe9nI565JlrS4EFgcwNDPDHtuWnWRAY3W1++jctjg5f/jDbd3+Bx7cbbH1tt3Z5543Og+rlaANVJzy2VOL1VDgQ0GhWqCCwAgBkqHAR7GwGW+0yEOpiJSTEjJdd8Mvf9W9arfXddu9YsfuiiuvWpKxFXc5lxnQWALhkgvzdtDW1eBX9UKfMCAopVaZKj2/Fq+vqzZdDqxXujy06La1YGNa+/dyyAxlDNmuWfhYC+05Cz7L+azkjhda6IpMicByIdAU0Lhn6cag8GefzYDGcrXYCi1npTs5KxS2ni2Wkrzmda/v39K++eBDi6zKUVNAozbLhemdLO1hRgcBk+VOKQ/Ljfi95bXiLlnKgMZwO83bQVtXg1/VKwMawzIwaY511aaT8jlN/lYdMw3tMZ5J3XYviq39ewzMk0YiIAQkdxnQECJ5XE4EbGBi6XnbspMMaCxni63Asla6k7MCIVvE0vGf+GQf0GD2yu9/f+uie/xhSviOr961z/P8rV7cPfhhG3ZPfOom3TXXXrskLxcIjDBQIVBCwGS5U8rDciN+b3mtuKfT394+83bQ1tXgV/XKgEa7LLTmXFdt2srfLPladcwsZczybOq2e9Fr7d+zYJ3PJgIeAcldBjQ8Mvl/ORBYGsRwS07um6Hh99GANz2bAY2u67/ccdbZ53Sv2GmX7hGPeUK/ed9zX/ii7tQvfrm/x5KBJ2+yWbf7nnst2T/iuBNOLN6TEFx2+Q876PHjvJRuu+22js3+nrX5Ft0GD39k9+gnPrl78cte0U8rLu1vIVqsuzzt66f3deA5Nh9k/fgBBx3SXX/DL5Vt4ag6Pe5JT+tnBDArgHPqyc/u88B6bfjw1xeI3XfCxpifPvkz3fO23KbHkTpw/oEPf7SjbqXkMfzRj3/S7bjLbn392UgR3I49/oTqxpvQnhSDEj+TXJeTuOFjN+p+cNnlSx4lcEEAgyUkn/nc57tnv2DLHm9mYvj0xz/+sceZgQobgkbpp1dc2e217/7dRk/btKdJmyGXF158SXGzVt9+/3vTTd0Bb3lr30aUhSOppPrUjNqXv3Za94zNNu+e+dwXdKd+4Ut6tF/XX5ITzwOy8pGPHd9t+pzn9/0NmaUetP1Qoi+wIetWL3lZ30+QM8o957xv9xhInt5y6NuHSC26z4atyPh+bz4oDCaxmev2r3xVn+eId75n0bP6w3ISAlfU6/wLLtLlvt9HOmCSfggx7/SDF7ipz2/y7Od173jXe6v9bYGp4MS3E/0WXDZ++jN7eYP+R4/7eCd9RJ9DT9LPaQf0J323pR2n1ReW7Wuuu67XcfD3rw/aoOcTfuG71UHzfFAH6vOpk0/pbr/9dlvcovOWwS/9FXlCF6OTaSfsjGR1EcGBP7Ij9H1o0XehJ52N3Nvk+zKYIBu0oXgZ6nP0IehzpM3BhNlj2ItolhCOBboIGUA3ofeoOxiARSl5uSvls/yU8syiH2ybUhfayfsFLbaoxJuuI3PYA3SYfA50RmvftXbggRs8rLcH2AX6HXxHyctDlIdryMm0fgjP+/4kPwC9EfUntSk4INPY/Cc941m93KHXkQ2lVjnxdYA2WIM5/JWSbAf9gr3CwHMaX6REv3Z90v5teWX/Efw/bI98P/SfTeqbb9jnTd3Tn/Xc7j8e+oi+jyLfPIsuj5L4ivxXfw/c0b/0efo+ernkg1JWrT39PdptpfkMEV6la2DzoY8e18shept+ga9/+Dvf3duq0nPqHxylk+gXyDQ0kOsvfPmrxfazdMewl5ZenicCYyGAbNd/98/S8GXquTUf0GANH8YLBw1jan9ce9OBb+mVBdcjB84PMDzQ/G9xJAioPHbjpy4q3/Ky9Xbb92sZI/rUYYeddyk+yxdKbIACGnYzJluOzu3abA0MuGevW17Y+2Gz572wyAN1o45Rshh+8qRTeodGfNgjSzWoa5SmwSCiM+k1ZmUwOwM+o300+CoFcsQggLWoOJ3kjZaoaP8MZnGc9+0LFrGCk/7u9x29MJCxuHBOGdCOHEbbfhhUAhH2+UkCGhhOfa2DQBWKRMmW4+XE3jvplM92tKXlQefQpoxSAkP6gvLbIxjgiPPVGa4zOJkk8XUZtVW03Ic2oW2gXZqRgwxwn77AZrtKJR0wST+Elu0rDC5xaCwGOqeNr/v5L1R889G2E19jwUEWTXvk6z633PL7bo+99gnvD7XjLPqCyiB3DCxL9X/OFlt15194Ue9Y14JzQ3ww+P/+pZeF+NnBr88Af/QPBR4sdpwjZ0e++30LgSH/fPRfMuRp6b/txzyv/NSfACCYKK891tpKdcRG0ub2OW8P0T3oIOpm8+kcLNBhCobZOlq587rD5hM/pb49q34Q/T333rfafjVbZPmNzumXpbYAK4LFyGWUhuwAGDOgjDC28sB5lGbxQ6A31J8Ijvn+JMwlJ/bIwBjZUGqRk6E6oJtL+Fr9Oq0vIl4nPap9bP3tue/f4vUl2+/QD4ptv/O4DfVNysGHjPwr8RXpUXsPHeN9C/GPD3rRJd9ZAkmtPe29leozLKlQ4cKQTGLHvviV2O9R/0An4d/Ydha+HNHPUb+HpbHsZaF6eTkRmBkBZLT+uz+gcf+o4/5ieXZNBzTo/HLScOoOeuvbuiuvuro3oBy5xwCGCD0KwztwQCmjEt0T1Fbpc+4Tih6FTxkv3Ga77tzzzu95wDnjM3IbPm7j/l7kRLEsgaALz5Lv5M98rv/6AY179c+u6Xbe9bX9Pd7+/OL6GxaKZikEBuP0M87s/utRj+t/nHONn9093xqWyNnEQZMhYwCAYhad//nGNxcGRSWjJgyf8JRndAQ+4JnZDtBQO0iJ00bUzaZpMbA0Zjln52/wx5n3vLEBKPe0hEQD3khedI9ZHMyiUIKmDBkOK+1t5ZQIP/JLOZFRs+3HhqMYT/i6/Ic/6ge9dvlLTVZrwQx4teV4ObH3Nt9y615WkW1knHvIDM4udUAGfvijH6v6C0ecLfoAeXCuCFwgezyPvLC05yGPeFS35Ytf2ucpDXoWCLoTO5vGBwDJKjlV+b4v004KWHlZKOE6ST+0PPCWnpk/tq+AxTvfc9SCLOy6xxuKDo6r+sJf204MrGgT9Wdk7nVveGPvUPH2DUf6Pzd8TN8OUTsyaLNvV1XIrPoCOpJF2uKlO+y0SGcSiEE+4A+dEzni0KjxQZ3RZdAvBYfkaEZyZj91yGyoX/36N71uQIbfd/QH+zYCQ8ppTdgrgmTIOm8+4Y0ZcbQZP//VG8kcNuzZz9+yr4/akvycq88hT9gLn1RHMIQO8kbf4HnezmpZnLWl6BfkUH0TPaNAB3ocXeb1JPQYhFEnrzssT+InwnwM/SD6BKDRQ17Xol9li9C7vh6W1+icNnr5jq/u64l8YR/RAbwdZ6CvAGJkH4bsALxiH0oYSx5K/WEWP4S62v6EbiLgavVCqT/xuUjaHzxp/xdtu30vi1xDf9iZA0NyUqsDAWvJe6lPS8dP64tEbd56bdL+LV7RwfRNfEf6DpjTNzUTxfpHyAYyfNXVP+ttA1+Ukb4E+0ima3Kje5RP+/KTjoEPSzuyB7X2tPdWqs/Q0rb6NC34yp4i87S3/BbuDelgnsXHtzrJPk/b+ll64m8MeylaeUwE5oEA9q3+uy+gUVh6wrNrOqBxxpln9Y5l6Q2VdSBQOJGTIaMS3VOjS+lHjgQODs9Cn4GxjJCe5YjS0tIQr7AwGkzPxDnGOfIJJw/HHgc4miFR4020rGHxzibGUgP6kpNgHc2dXrP7kjoKQzCIBuS0A4EM7jPIsm++4XFWDFTPaY8KRPi39rZt2WuDxJshggrRp161f0ZpMFxyVKErg4UsI9c22fYrBZWUvyQPOCkMVGo82HK8nNh7JR4IYjCIoJ2jJTfIPuWXnreDKmhEgx7VMzoysNB+J/5LNLpHP9PUaLWpaBGE0pIinGebSrgqz9B95WvpKwp+RTImOqWjbSf62rXX/XxRVvQTfRh8aQsCqD4RkCWwBFY+MDSGvmCQozfckb6AHzuwifSu5YOACLNNfEKvsPSEukaBVA1+vZyhrzRzhWAG/23iP0ENDfzvuusue3vw3LaR72f2YckU/Jd0s8XJyzO0VMdavycf+oH2brGlUcCytU7ix2MOD2PoB9Ev1dfqGB94ttiXzi/+znf7lwfoMAI9PtHfePnAAM4v21J7gjFL/SK5YtYSvEcY6/moP1hbNY0fYvtTSdZswIPZST5Jt9V8qZqc2DoQ+Mbv8MnyEPVp8UCfiXQLmNd8EV/eNP9rdbT0hnhVXl5ksUSBJXlRMJF8LAeizpFM1+RG92o6Rn42csmMVZtqdbX3SjZ/XfsMti6lc5bJ8NKw1C/wZzW7eRodbG0ycs9SKZvGsJeWXp4nAvNAAN06/Fs8S2OxZ9Wt3YAGwOltKmsIo0ACjWaVTWRoZVSie2p0Kf3IkcDhxxEkKMH6tlKSwWHAxeBKSbRRmDhLUcLZKCU9H/GmZ6xh8Q60BujUIQqoiAbTvxnk8OPcJmFY2yxTjmDEp+owLQaWl2nOhYHnLbpunS4CIUq1pSsKdNTklDZ+7ev37p0SjrbNbftFjqR44CgsbV1YX8v/kpOv5205Xk7sPR8s0PP0SQ0E/YDF4ha9RRIN3jLzpgMHy9NQntoRh4JnfX/W7A0cvhM++ekeC826ET0tSYnkOMJVz3Ecuq+86iulARH5FOCjHr4dRKd0bGkn8YDOoiyfrCz78tUnZtEX+hJQDQNkiWACGFhZFq/iI9JHysMRnQavkaOvwa+XMyur733/Byy5hXPeOsPjNMm2kcfX0pNMgQH2I0q1Pkd+1ZF12tEAkTwK9lFOFMBRuTwPHfJ5PdRaJ/FTw3wW/SD6fsmY6sCxZotsvuic9qL+pb7DM1Z3WxqyA16/2zz4MdgJyvCDI8lD1B9m9UPUn4b6NX2XQAEB67/deadlfWEGnNe9NlNNTlSHml6AlpYWRj6XdFukw8XHLO0vGrVjrY72OfEa1cPm0zl7dNnZLrrOUbIR7QWme5Hc6B7yZv0ZS9vuDQbPNtXqau+tZJ/B1qd0TiDUBxpsXukdgok+6Z5/YWbzEVCmDfxSI/KMYS9tWXmeCMwLAfyR+q8+S2PNztDQ29SaIlajoUzJFxlaGZXonp6X0o8Mgmj7t/J6VkcZUe8I2XowGGTjoUlSjTfRsYbFO9CanRA5/Hqeo3XyvVEThrxFwPhFSTxEGM6KQVTeJNds3awTKUPiDZHa3O6jwSwcnAn/Vt0ODi3tiD+Vx3RpuweEsEOGfft5Ol4eWoMZ0KmVY+9hfEtJsuAHLHKYmdrq9xextBgM6FO6nobNVzpX/X07CFv6KUETHF6Ps3j3QUfKEt1Iflvui1+VUesrVh6H2lt0dbTtVHpWPJR0Xq38MfSFBnY+oKQ66KgAU4S5+CjVQTQUHIqCpXI0IzkTj8xyuTTYLFj0pzm2tBF0JXMR77ZctWdUj1odRUPBPgazfkaO8uiosjzurXUq8TOWfhB9bGkp4CReI7lSPUtH8UlwmA1ASy9S/POyAzyHLqolgmjoel8HyUPEt2zStH6I+pO3dTU+/b2SbNh8wj6yZapDpH8tDWwjujvCUjzU9Kt4iHC05Ux7LvpRHS1N8er7ks3Tev6tc87tl61EdarJje4N6Rj1K3i2qVZXe28l+wy2PtOcE+x41W6v6/ssOPkk7Hx/tvnUDlFAQ7ZoFntpy8rzRGBeCNSDGQp2lIMaazagISdsSBHTcDLWkeFoMSpSNt5Y0HgoKQzXC170kv7NBW8voh8KD4fR04A/Np/DOEOH6ai7vHbPfiq41m3XhK/Em33GGhY/yJHzNKQsoaelKV5pt2AoHqL6z4qBreu053KmrEMoQ8LRJr1Jss5fScY0oBoayENfQRGPkbAbcpCgIXmgX7zrve9f2NvlwEMOK77dUd1q5dTu6XmOkgUvIxqc+oCefVbnagtPQ/drRzsYp02U1JZc0xtpO4DTNTCOAk/C1beN6A/dVz7hE+ki5bF18P1VeUrHlnYa4qFW/qz6wgasSrMfVDfp+Ahz8cFu/5G+1TX0M7M4or4jRzOSM7tuGt3M3ghM92aKNA7sLKmljaA/qUxF9ajVUXVQsL32Vlt5tUmyd7xb61TiZyz9UKIv/jmK10iubL7oHPllDTzyxA89y1cn6KfsZ1BKsgPoHHwByWd0xJeAttcRJXkYww9Rf6oNukp10/UhvUI+Ye/7o60D+r+WeFPO1HxoUKZNk/AwTfvbskrnpTr6/C28+mfQPeyf8bnPf7HfmBwcmNHI3ivgEdWpJDfQrt2zZatfebxrda3ds7SFA2XYNJZOsDRnPWfvDIJH2AL45SsnWsIK/r4OlCfsonviR+3g9epY9lLl5DERmCcCbQENAhtxUGPNBjSkACIF7hsMZwNl4x0E8kmZRvdEp1SWdfyh3/KL+GUaIZsvafNQS4fplyjP0pugEm/inWPNsLQoW9ESVl4x63oNQ/EQ1R/6s2Ag/mY5KkihmSq1N2p6Q6S60IkJhNBu3hlraR/xXcJI16E/NMBVeVaGOEeOWG9fS7VyavcsTcmClxH1QW+w7bM6L9HQ/aGjAiIKTqkt7awNlcGRVBs8c1+4qs09D0P3lV/l1vqK1StD7S26Ora00xAPtfJn1ReWtrAX7/6oukSYiw8v57X/HkvR8LIqPghqaJNHS5eg82577BV+TlvP1o6qFzQ9T/a5SWUqqsdQHSlvkr4pnnw/bq1TiZ9JeJD8Tltf8RrJlcW/dI4tZnYGe6hYueCcva74tKhfGiDcfP7af68jRMPzbftUjZ6952mU2qWEQXRd7eL5tnmFPbxY2bd1GNIL0BO/Pu8kPHgMLJ+znJfq6Gm28KpnmMXK51PRPbYddU5gjcBrVKeS3EC7dk9lcyzhXatr7Z6lLRx8fx5LJ9iypjnHv2Omq/bJEOY60iZ8Qpf/vg4Wu+ie+FE7eL06Sb8Q3pEMqJw8JgLzRKA9oLE0qAFfazagUXqbHTWW1qdFhlbKNLonWlI2XlHYNwW82eCzV0M/pptGG9hRFtH3S777vX5QzDfDrfEqbZJV4k28c5SiQ+FaJ4J7pVkXHWz3KAAAIABJREFU9nmda6DoFXMLhuLBYyjaOk6DgZ6d5agghWb8SL6it5Y2as4bfw2Y7Rt/8SI6Q/Umf2lQLeyi9lM5OkoeyEsQA3nU26zSplZ6tlZO7Z6e5yhZ8DKigJE32PZZnettoaeh+0NHvdlRcEqY2D6uPJrerCUpNo8tRzRK7Th0X7SET6kc8lknxvdX0SkdW9ppiIda+bPqC6sz4aOW9FY7wlx8sGHykM7VfbuMi3KRr5ITKr4w0Gz0yKwd+pF9G9cSJBQde2xpI/JPKlNRf2mpY2nWheVZ5+o3vh+31qnEz1j6oURf/HMUr5Fc2XxD58zqgm9mv/F1CL0lR6aYeWFn8sgOMFMPuZdM1o68CcbWKJXkwfapaf0QzWCLZEjlDx2H9ArPC3tvy2wdhvSCtb8+7yQ8zNr+JTxKdfT5W3jlGfSgBtOaLUZA7ctfO63/Whr6uiQbPD/tPcuv+pXHu1bX2j1LWzh42RtLJ9iypjm3M6jxD+ljfOGN/qmv+AgfXwfKq90TP2ojr1cn6Rc1e6ly8pgIzBOByQIaJqjBp4nXckDDKsva+jwaTwOkaBAhZRrdU8NL2UQGUI61X5agZ2c54hAxc0OBDb8RG7RrvKlsi5UfILG5F85Fbc0pdKwT4evagqF4iDAUn9GxBYPouUmv2foxeNESEg14PT3ygBuzAAhCUS+/JwPPsCkt6/DJOySnGizYmQTQEHbeCfQ88V/ygOOsr6XYncRLgbGhclp5kCx4w66150NLb2w7eBpRfaNr2pNFZamtbP9RHgJW7KlRmmEj+sK1JL9D90VH+NT0TS2gIDqlY0s7DfFQK38MfSEHb2h6u5ZCRJiLj1L/LOFjr4uPSeQMg83nOdWna5tt2rLseUsbkX9SmYrq0VJHDbYVzLW8+nPpRQULdb+1TiV+xtIPJfrik6N4jeTK5pv0/Pbbb+8/m8mgk5/9UpLsQBT0bi2nJg+z+iHqT0N+QI3XIb3Cs8I+smWqw5Be0AsEaKDbbZqEh7HbX3zU6qg8HFt4JZ/sFwFUvyG76NVkY9p7os1R/QqebarVtXbP0hAOlGHTWDrB0pz0XH4CsoZ8lmZKCx9fB8qr3RM/aiMf0LDPD/WLmr1UOXlMBOaNwGRBjcVfPVmzMzTsmvfazuwoIO0aHg0iNK3NO2i20eXERQZQxmYax9aWUTpHODTYiva5kCKMeBPNmmFRFBxjGX2GTjT4ggv7H3hHjfsySBG+el481PhUXn8cwsDnn/a/2pI9TDAeGDFvwEVbuCM3cgaj9mmVU+gy4KZML0vCjns+ICV+dBRfHmd9FhYafHISTH2qlVO7Z+lIFrxht19ImOUrBras0jl10xcy3nPU0f0mowpu6BnJFPLMV09oR59HeTmWcFWeofvKJ3xqfaUWUBCd0rGlnYZ4qJU/hr5QP6t9iYL66ctQXpa5Jz5avxAQ4dXiaEbPcU0zeqIZXKVndL2ljcg7qUz5PgeNljpap730NRVoEWwsfYnJygztGyU7EPW8jqUfWuor/CO5ivie5JrFwS4/tHbABlYnoV2TB/Upbzta6SuYPuQHUD/wY78Qb0OG9Aq8CPvIlqkOQ3qh5YtrNf0qHubR/kN1tO3Rghf5WwI9ar+oTjW5qd2zvKpfwbNNwjJqz9o9S0M4zEsn2LImPW8J9g69hBF2vn6WF7VDFNBo7Rc1e2nLyvNEYN4IYBvaf/cHNdZsQIMGGfpuPXlwPDXDITJyMgS8OeHb8D7Z755HxsIO9E/+zOf84wv/2QeDDYSO+sAx3V//9reF61/77//pr7/yVa8Jo78aeGEwoghti8KtGRbrSPppsmISHhgEw0PkbMggRfiKhniIMJwVA5wsTf1TedMcZVT4Wgm/2gBXzjlyo2noJUden5mrTVFnWrve+vpBhbCLnAZfT9XB40wbIoMM4OkPBDh8qpVTu2fpSBYi463+Cm/f+OaZ9rH+nOCjnDfqGtFY8lDhggaczJoB9yhgqTxMF6etozwiX8JV91v6IXmFT62v2EHRUABL5evY0k5DPNTKH0NfaMYQsohMIps+2WnWXpbJa/moBciYFUW/OvTwd3Q333zLomJKjiZ9ccddduu/hFMK8kp2Wja5XVToBLO2hmROdNWeUX8p1VHP6qhgam1Z2oUXX9LPREPn+U98W6eeZUC0j01W/5T69hj6oaW+6iORXFmeo/Njjz+h3yej9BLF9h1mhtokO8AmjswKixLP8wLmpTvstATjmjzM6ofY/sQLFLtcRnxybdc93tD7AeTx/VaB/dosD2Ef2TJbh5JegAe94Ik+g66+UNOv4mGa9hcWtaNm41DH2qzMFl4pR8uBohcm3LeYRHWqyU3tnq2j+hU82yQso/as3bM0hEOkv8bQCbasSc9bZolIL5b0mrCL6id+1A5RQGMMe6ly8pgILBcC2Ie2XwY0+jbBQX3hNtv1Bhan1X5eDyCZcv/YjZ/aD1ZQNpGRg8bmW27d08AYEJTAQPA7/Ywz+7WxDFhx4iJjQTkaKLJJGGvreFaJzcFO/PTJCxuIeeebdXgMMHHuCRrYzcQ4h57uc+6Tfbu2934HdEx7hSdLZ8iwKOgDD/5TdNTlmI98bIEHDIxPMkgRvsorHiIMZ8GAjS4ZsNK+7D6PYz1tUpACWvxqA1wwlmNF3qhe4gMn9eU7vjqUU/KwazlfTIHOc7bYqg/O6FmOwo77QwNcGcaIH9qSoBV0ouBKrZzaPcurZCEy3jjN2s+D9eb77H9gvw71yquu7vsIwTL6K44bPEY0bFm1c+2JAh1+kQOuPUuUxy+lsvRruJKvpR+ST/jU+oodFA21t+WR85Z2GuJhqPxZ9QV9Bz0I7ug29JrVV9ff8MteTh64wcP6fQkiWaaumnWELL3zPUf1uk94UIb0P+UwELN6mXwlR9PaBAaWfs8j7IyCj3yxgrfvkyT7th76BGO9zobekMypTLVn1F9KddSzOtoAEgEJ2kAJ3i646OLuyZts1rfZTq/ZPQy+047YEPDeedfXdgxQSQzwCABgH2lL7ke8jqEfWuqrPlKSK9U7OqqOyC0vQMBGSZuFggH3sWs22fqh61i6ZJ/nk+3wz/N8mefc8863j1flATqz+CEUZPv1QW9926L+5Oum5YyWQc2aou7aGJV+beso7JGBSLdpv4JIL+DbwJfwjXhQX6jpV/FQan8CmuyLwiacP73iSlvFpvPW/t3Cq9pFMkEbWTxtu4BpVKeaHqnds5VVv4Jnm4Rl1J61e5aGcJiXTqAs+i2+DwHJu+66yxZfPbe2EL1XswUlvSbsovqpcLVDFNCgvcewlyorj4nAciGA7A7/MqCx0B7sX8AgCGWC0n/ck57WO16PfuKT+2sEPD550in9ecnIyTGGhv/xxoqNuzAUkbGAERxlBtOUz/M4bjh//PT2nus77LzLkjdXdpBJHvIzbZSffRaHHIcoSnICxDvBF5wLpSHDgsBBQ5uaWf45hy51O+RtRywZFFCGDFIJX/KIhwjDWTBQ2fDIIAPneZZkZwhEg2BLW0uRKNt+wtXm0TkzfQhWCEvJKUfJDfKCk+uTsOPZyAm0+WUYI5zJZwcu/m1srZzaPVu+2qNkvH9z4439YIe6+B+yxhutIRq2vNK5fWNMObSVT9bxpA1wFktpCFeeG+qH5FHdan3FOlFD7e35bWmnIR6Gyp9VX8Azugx9KBlA1yH/+gQhAzreaOPglWTZ88EgiBkT0JH+hz79jv7nU83RtDYBups+5/n9m/OW/urLif5r8Kj6c/QzvFpkDtpqz6jP1ero+bK2FFtAW3gs0XPokCjZAbutF+f0Lwbce+69b9/mEa/QnFU/tNRXfaQkV1HddM3XETmjLz9vy20WXlrUbKW1A+DC82CM3CJnXAN7dAnybdOQPMzih1AO5SkoAh+2P1k/gDyeN55Hbyhwz/P8/EsBYc+9SLf5OkgvWHzgi1mMEQ/qCzX9Kh5K7Q9f8Of3srJtMXTe0r9beI1wRWaYQSaZQ95YJkt9ojrV5KZ2z9ZR/QqebRKWUXvW7lkawmFeOsHas9pLC8uTPbdtieyxYT/4yxYQnGRWEhhEdRB20T2Vo3aIAhrkGcNeqqw8JgLLjQC6uv67N6ixppecqFGIqLNkA8WOUtFv6+22750vGaiSkQNodnpHmehZaPGmCtpSNpGxEA+8ieCtBEpONHRkszWcAKLpUcKIY6CneRZ6PI8DRDkq0xqeFsMCBmedfc7CbtqiwxG+9MYl4l8GqYQvz4iHEobTYsBUfwJatFfJ0Yp4Ll2zQYpoEGyf03REMBoKfvAcb+AwqHJchTEOLAEr+1bUliPsyB85gTZvi6zaWS3MhpBc1sqp3bPlSxZqxpu+cv4FF3X7vfmgfrkVS7F4I6a3YS00bJmlc7VlzTFVWdGGrpZuC65D/RB6Kq/WV6wDNtTelkfOW9ppiIeW8mfRF+JZbxc1WFJ/4PPV6GPVpaQzoFPjg35Gf6PfRWnI0fz2+Rf2MwC9XRnqr1FZ/hp884bf6nyvQ1pkDrpqz6jPDdXR84UOQhdRR7UHxyEsRYc3mMy8ss9jl7Bv9PsWfmbRDy30W+RK9YmOzBQ47IgjF9lbYTVkK6FXsgPQYHCEHUY+fGqRh1n8EMqr9Sfq5meleB4JSFn58X1X2FPXkm6r1aGGD7yoL9T0q3jwvKkushtDLymUPzq29O8WXkUbmUOX2X4Fhupb2HTqE9WpJje1eyqbo/oVPNskLKP2rN2zNIQDZZTSLDrBzrwd8ulK5Z997nn9bG3qqZ8dIwifqA61eypP7VAKaJBvDHup8vKYCCwnAujD+i8DGkvaA0ecNc8od7tp1VBAwxK69dY/9I70pNOIRYNGo2zxMcneDnoW/vlN8izlo/R5ZtLnxLuOYCD+LY66P8/jNBgwkCSCvVoS/LIkAiPJG7tpZW211HdSPlscnElpLmf+sfrhcvI8S1mz6gv6w89/cX3fH+gX/J8mwQfLl9gXiZla09LxZWNXoHvmt87uA+Rj9lfpuzH59fxP8586opvQUdO0CdhTp3nYj5WiH9TPWVqCvZy0rsIIeUW+kN+xkuRKdnwan2CWfo38MKCdpU6qA74Q9ZiF1iS46vP0PsA4CQ3lVR3G6t/gChZ8spWlqmPpOPG7Wo81naClpVGwZ5L60pb0I/b/os8vlzx6HmnzMeylp5v/E4F5IkD/Kf8yoNGM/SQBjWaimTERSAQmRoA3TaU35hCzS0VY/pMpEUgE1g4CqR/WTluvxJpa+zPt2/yVWK/VzNOsOkEb/88y42Y145e8JwIrAYFyMEOBjq7LJScNLZUBjQaQMksiMGcENG0z2mhRRTPNnzcpTOdkD4VMiUAisDYQSP2wNtp5JddSyxNqyxRXMv/rG29j6AQtIZpm/4z1Dc+sTyKwLhEYCmpkQKOhdTKg0QBSZkkE5owAU4f1RRrWirIJItPamZrMNFocDu2nwNdQVtMyojlDl+QTgfUegdQP630Tr/gKal+s6JOwK5759ZDBMXQCfkX0qen1EK6sUiKwohHIgMYIzZMBjRFATBKJwAgIsOGdvkqkzbX8UZv5jlBckkgEEoFVhEDqh1XUWOshq+yNwAbRJ3765PWwdquzSrPohDv+/Oduj7326fR57NWJQHKdCKw/CNSCGjlDo6Gd+RQm36DmKxhjbujWUHRmSQQSAYcAu3XzKWS+sMInC/npSycXXnxJv7mteyT/JgKJwBpBIPXDGmnorGYi0IhA6oRGoDJbIrDCEciAxgpvoGQvEUgEEoFEIBFIBBKBRCARSAQSgUQgEUgEYgRKQY2coRHjlVcTgUQgEUgEEoFEIBFIBBKBRCARSAQSgURghSAQBTUyoLFCGifZSAQSgUQgEUgEEoFEIBFIBBKBRCARSAQSgRiBDGjEuOTVRCARSAQSgUQgEUgEEoFEIBFIBBKBRCARWOEI+KBGztBY4Q2W7CUCiUAikAgkAolAIpAIJAKJQCKQCCQCiUDXZUAjpSARSAQSgUQgEUgEEoFEIBFIBBKBRCARSARWJQI2qJEzNFZlEybTiUAikAgkAolAIpAIJAKJQCKQCCQCicDaREBBjQxorM32z1onAolAIpAIJAKJQCKQCCQCiUAikAgkAqsWAYIaGdBYtc2XjCcCiUAikAgkAolAIpAIJAKJQCKQCCQCaxeBDGis3bbPmicCiUAikAgkAolAIpAIJAKJQCKQCCQCqxaBDGis2qZLxhOBRCARSAQSgUQgEUgEEoFEIBFIBBKBtYtABjTWbttnzROBRCARSAQSgUQgEUgEEoFEIBFIBBKBVYtABjRWbdMl44lAIpAIJAKJQCKQCCQCiUAikAgkAonA2kUgAxprt+2z5olAIpAIJAKJQIjAzTff0n3iUyd1+x5wUHf0MR/urv7ZNWG+vJgIJAL3IvCPf/yj++3vftf96U9/Wu8hufPOv3fHfORj3QFveWt31dU/W+/rmxVc9wjc+Nvfdm99+xHdO99z1JroY+se8dXFQQY0Gtrr+5detuDU/eWvf214Ynmz3HrrH7rDjjiy5xFeMyUCNQRSXmJ01M/pS2CU6X4EcNRP+/rp3St22qV73JOe1m342I265225TfeBD3+0u+222+7POHB2++23dx897uP9s9CA1otf9oqeNmWMnfiU1ymfPbXXjQzMp9WPk9L5zY03dvvsf2Bfv8du/NRux11266648qpi9aD/8RM/1fP55a+dVsy3HDfghTZ60EMe3v3TPz9g4ce1TKsXAen9Aw85rLv2up+v3orMwPnXTz+j72Mcx05///v/dW868C19f3niUzfpfvyTn45dxIqi98WvfLX79wc/tHvjm97cUfexkrU1Gz1t0+6/HvW47hmbbd4dfNjh3S+uv2GmYpB75B9bUPu19BH4POvscxbZxGdtvkUf/B2yiejYL3z5qwt2cNPnPL/XuQSJSuln11zTvfngQ3tf/3f/+7+lbOH1O/785+697/9AX+dJggGXXnZ5t/+BB/fPnX7GmSHtoYsEuwh6gfdnT/3CUPb+vrW3bzn07d3Pf3H9wvXD3/nu7gH/9qDuuBNObKKVmdYOAhnQaGjrr5729d5IbfvyV67IqOCvf3Nj95RNNut5hNdMy48AziLtMOtAGINGFJpfzbjNUsOUlxg99XP6Ehit5sQbQupw0803dzgHs6Qbfvmrbuvttl8Y2NpBLucM2HHshhLBhCffp6c8Df5TBmWNmS68+JLu4Y9+/ALv0+rHSejwhvY5W2zVl/noJz65wyn/lwc+uHvk45/Ufe8Hl4bV+8pp/90HEF64zXYdMyPWZTr/wou6hzziUT3/mzz7ed3e+x3Q7ffmg6oBmXXJb5bdhoD0Pv3hO9/7fttDy5xr3vbv/R/8UC/XHCdJDF7p12BYeqmFzsVHRJcx4JpH0GQSnueZFx2FrkJPoC/GSgSCX7bDzj2GkY0gyEpgdVqbdt63L+ge/LANi/RV5lAf+cMfbut23eMNRTobPm7javszGEdGqM+TnvGs7hGPeUJPi4BYFBxCtl6+46v7Z07+zOemgvuMM8/qy2sNBqhMMJnFLtFWB731bX398BV++KMfD/KPncReUjYBDNvezBTEphIEmjXANchIZlhVCGRAo6G5NNDJgEYDWGs0y+vfuF+vfDnOknA0MaZDBnWWMuTYYiymHeDNUv5KfVb9fH0IaMhxn1Vn4bjJwcRJO/b4E7rrfv6LPvDA2xYGvMhRbbBOe/PMM5/7gj4vz/AswYsrr7q6e8e73ttt8PBH9vcoizLHSNYhg8dp5X1SOjjclLXXvvv3QUmcsQ999Lj+Gm+qrHNmsaHPEzhZ14k3efD//K1e3AfE1jU/Wf44CEjvz9O2zMrpvO0fb7iR7UkDGsJuSId845tn9m/deavMbLT1NaG/GRgzY+/Pf/nLKNWEzk6v2b1vH+wBdgH7APbnnnd+99IddurvUe60g3rZeGZSQOPzX/pK+CPAfMstvw/rRdCN2QbIguUTe+Zt4kWXfGcJDV5Wbfa8F/Y+nvT9r379mw6esKOX//BHi57BXrDkj3rLpizK0PiHQAmzaeCbGS9Ds7TAhzIJuhAMmSUReCAAQdlDdQBfBYt4MUAg0SbwwI5CK2cNWmTyPAMaDTIgJTjr4KChqKmytBrbqYjnQ00IZECjCaYVnUn9PAMa9zcTeyjg1OBoRc6ZDXi89vV7h2+XrINSCliwnIW3fZQ11lRSvQV7wlOe0b/RwQGijSdNk9JBFzAV+5tnfWuhKKafP2ajp/RvcAmQKMk5pt44rT7YoXzLeRxLly0nz1nWMALyE9ZqQIMBMwNw+hoD1kmSsJtWh0xS1krPKxzBguV8Y6X/+cY3e73JAJrlGD5JV1Lus1+wZfe/N93kswz+V6B/x1fvWpxpM0REA/2STSSwwXJM+CRA4wM+Ctp5HhRs8zYKu0tZvBDgxcAsSbMb4I1ZEyV7YwMQYy0pEm5DARItZcKGch4lycq0chDRzGurH4EMaDS0oQY6GdBoAGuNZhlrECBjN0+nM52zWEjVzzOgcS8+vNF5zete3ztmbz/yXTFoXdfJueCtD2+ffNISBqaJljaWtG9dvKPn6bX8l+OG84RThO7GifPO4hCtaeigC3z/VZ/zNuTUL3ypd+JLgZ4h/uZxfyxdNg/ekub0CEgGvWxOT3H8J+dp/3jLT9B0mqnqwm4aHTI+SuuWotqIAO2Y+4RgY8C3NutDZU8rw5qhgI6bJhHA3+olL+uDYgzQS0k2McJIdfA8KNhibRTlvWT7HfpZElGQp1R+7boC9GCoGSI2P7ZYS0RqNts+03JuZ+BQp2gmpl2uySwNglhR+uWvft09ddNnL3lxEOXNa2sHgQxodF1nN/dhLRtO8HNf+KLu1C9+ub+ngY53Rr2YsBEQb9mYOsZUNNZPs+Edz5c6Jh2YPKwt540evFAu5cMHNFDw55z37WI0tdXYolA+ffJn+ugx9YTH2sZ+RMCpM7yd+OmTfXUX/T/plM/2+bZ56cs7lI3SZZf/sK8L9eH8+ht+2W+WR72EM4pakWJ4/MjHju+dDtWfzfV4biiNgX9U/u577tX96Mc/WVL8HXfc0XEPfMASY8yR//y4R56WRNvzDJsk8gaJH+eiZd/2Wnq0PVMzaUfalF+tTXm2RV4u+e73+rcgGA02fkQuffrpFVf20wcxeg/c4GH9W3CmE4KV2tM/o//g/JnPfb53DtTncDSpy9CGWqJROvI8U/xxPJAz2oQ+yVpM6l5K6ucKaNiNHXlbwHU2JqvRsLS9PFJPeKLe1L+UmK5Mu3MsJckLusNOydSzlIU80odYows9n7dEW9etfOOglZIcNOHm88lRjZZb2LzMXABb6hPJm81bO0fXasoqa5J///tbpwpoTEsHR5V12qzXVopmaDDllyAQb99Ke2vo+UmPk8qetUORLptUdrzeZ0M72kS06Ws+0SesfZIu+9TJpzRN30cfsdcHcsieJUO20/Mo3c+SKPo7+rek+z3v/J8Uc9FggEH/lL1Af7KJrLWRLPWq6QzRuua667oDDjqk2/jpz+z+9UEb9MdDD39Hz5v0/tBgcNp2kO7hiP7HZ0FuaEfaHd2HrY/6tvTZJPYPPlttiJaNYVfBuzVJRrBxyBQ6lXaRXfa0fFvacuw9+BE+YANGfuNg+Upggjwil/hGLXIwi222PEfnGngP+cPRs7VrLYFUyTB4lHyiUhk2QM+yummS9uBgyUgUvBdNbAf34dfvuSJ7ycsCu1+Gn6FBH3rf0R/sZa60t4bKm+SovoAsRzNItF/UUF+xMmb1Jc+X/D/tjRHRtvUd2mvDtiW4ZUoEQGDNBzSIEuJI0MHo4PbHNRQJRpjrNQXOpnh0Qvu8PS9teCcFTV7K0do8+yzn8MJgMVqXaWlEjiINjUONEvZ09T/a2A8Fo7Vqtag5Cpu3qtDygxYpb5wonFV2/1aZOlI3AkGsIyRyq+v2WJrep248Bv4EZXhTasvVOQND2scmDAMyoTz+WJMXS4dzDaY9Df337UrbgKcGCMpnj7QpgQmfhuRFUxwl/z4Yx/93v+/oBQfPlsk5jh9OtH9OfDBtUpsm+mf5zyBv2jc/Q3IAXqVpjGoDBkTMKtCeD55HaLD2tmS0qecQH/TFUh1bHDvLK+2ppGc9z/wvBRz07LRHHEscmog+QRH6FLK0XJvkadaD1gnbfur7Ua3O09KRw283M9N0W3Q4ckPfYIAPLgQMx0zTyJ7VCWPIjtX7DMbR35aub4ch+8RgrvSFGvAEQw04bTmcg/GR737fEn1keTzzW2cXdT900XclfUbbTYO52lzygr345Emn9EFIXwf+12bxgAE4l+wB+hadRh+tBTRmaQfpnj333re35+Ae1QMfx2MpfRbl55qXl0ltCPhgL3nz7MtWO0RHyUiJL9rOJtuW6B2b7L2SvMrPQaf6PiMeanJA3WaxzZbf6HyeA8kPfuTYXl5qfpMCCtHMh4hfe83ageM/8Ul7q/lcPDLTY9qk2QV29oM2WbV9UzOK8BXG3ixbtOmjdqYJwTLtY8ImpF6GqfOQjEGzNFahH2IXkWVbf+iyWSg+K8+32ES1BUHTP/7xj9M2Rz63HiGwpgMadEwFEBiwYuy0CRFH7vGmjcg5HbCkaDUAJA+7AaMscBBRQqxBZzM97kWGyDqS271ix35gQBDF8sF/OWtRpNbS8IYfWfUb8jGg4xl+vHll8zf4kzG18q3BCvf8ZkXKx3XuM6jxb3LlEIAja9kpS/j84LLLFwIYKPItX/zSHisULLyBH58y5B78RdFkeBgL/8233LovnzajbHgAK97GUD7K1u7QjHLmKxLk0xthjvznN8kXJggK8QyfxuIzZfw4Fy0f5ddXEeBLmGJ8yAe+atNod2po4tjyrJcXYYlRQda880edtUEVMlmSVZ6P9gSARwwlZTNIQV7gmbehTriNAAAgAElEQVR2DFjEd6mvSeaio6L/0KbNaDu+OkMdkDUF3bwhFS051cgbvNFvrSyAK3hCn6nL/I+SMCSf1wdsGiZ5Kq2J1cCAYymJVx9E0Nd25DS8aNvt+2UetPmsMx8iXpAHBT39Gyfy04+YISIHlHY+/4KL+iCy3nISUK691YnKLV2jPBxA5E+OmnVkvbzPg470Lf0DOd5519f2g1SrX3lbC48lnVbia+j6tLJHuyAfyEmkyyaVHel9bAJvn+lLHz72uN6uYduY/aQkvKQTrH3inL7IvVJ/kS4Eb2SRwDhyycsK3nBi2+EDWjaJR2wTswcIBvBJQ/gBB3QGbUc78Ss52dNiLl400MU+YmMok7LhQX4I5YNBad07wXbqSR42T5SNtTaUlwXIoB00iQeOs7aD9Bb9mva2tsHqX+riZzZMYv/maUMsHpxjO3jTDv/MegFfAiO0DT94sUltGdkv3UMX0gb4l/LzmJVL20vOwRDbgYx6OYjwg4dZbbOtR+mcWbvsWwCfY+6fQXnyI6OXR9ynLRgoU/Y0ehMc5ffQX3gpgU8O1gS/md3FrINSAt899tqnL18BEfaawNYyAxQ6LTMwbTsx+waa0nEK9qFvCUKCxawbckb1gQctK7EBEwXekc/ScpSa/wcW0kOqiy9fdaMdNZ6hbWV3SstRPB1ekNAXeEl6zbXX+tv5fw0isKYDGvqMUUmBWsVD54uMlHWWidpG0wExhppK6Q25VbJ0zmgQaPmIPpNlaXiHnYi61g2WHEIcPxR7ZCi4h5LmHgY5StrVf4utt+2nd9s8chp5PlJUVrmVBolSshoUWfpj4m8HHLYMRY6pA1HhKMmZqw1Co+f8NeFVcjrJ/7c77+xnQCC3tBtt5JOcAxx5PzWzJC/M5pBTVTJG4o+yeYONbNrEf94UIss+AES+i7/z3T5YA9ZRgIxp+Cw9IbgULfOxZflzpuMSCCrJOY4pxpt2lENiaShIwP2SLNi+MqQPSm1jBw7RAKVFlsSrD2ioPnKeIx6VZ4wjAyf6LfIQOV6SF/j8yU+vWHBawNj+kBcCG5Est/KJ7MlJsw6v1RFeP0a0x6BzxZVX9fqOQTZ1wzk9+9zz+uKkT0qBtYinlmu2ntPKHuW0yN8QP2p32rjUH6Fh7RMD8ejLAgzKtcme7y+0lQYZfnYg9LlPUEPBirvuumuBdctjyQfA0UYXUg8CcyzpsGkMzNVXKSPSu1YeGXj5qe7WhkbPw68NukS2ZdZ2oAzJTcmPsW9/kc9oOabaJOJRuM/ThqgMfyzZTJ9PbRnpXd2jnZFJ2tUm+aPcJ5jhP99sB33RPkPCblrbbHkpnTODBz8s8itKz7ReBw/NXKG/snRJAR/7MoHAAUuBJk3iHfn8j4c+YpH9AXN+3KPcyI+3fZ0gKn4vWOtZeyRAUZpRBt+0JXXFz+A51ZcZ2La/EyDwcjJpvUv5FfynfMpBr2jmrNezoiEZK/Vx8im4WvIJyKMgtHx+yX7tGfGgo3jB50MnZEoE1mxAAyWhaG9tOYUdBEVGSjMYImfHipcG/d4QWUNJ4KDk0KNg4RPl49eMWRreYZcSxwD52ROWP23cFwVMmK5LuVH9LV/k80lKh+dLEX05QqWpY0RficJGTs6Y+Jc2PkRW5DTDa5RUh9L96JnomvCK6urz81aLX5Ss8fVBmEheML44CrRTySmmHK3zLH3RgjxWJnzgQANx+gsGNUo419MmHIXIURY9tVM0ZVS8gUEky6KhNvL7JHBf8lgK2IiGPnsX6Q3xWJMl8bouAxo2MFOSGU0RJqAr/YWzx74I7KtAPZixg4M0JHvCrnRUcAXs7Z4Uti9Q3lAai05UDryovppBEuWb5toYske5LfI3xJ/6CO2KrJeS7FNkd+wz2C5smN/V3rZtaV08s0+iQYF4RO5q+sz6AF6fjYG5Brq1N40axEd2gcEBONd0DvXXTKqIxqztQFtJbqIXG2pLZsmAd0lvqU0iHkVDum9eNkTl2GNkM+19nastI19J90rtbMsoyTI+FPhF9Ge1zapD7djSPrXnh+4hp98659yFWSDUVT/2hHnDPm/qZ6wM0YnuyxZBj0EwMzKYpcFyM2aPaZYE9zVzwNJhLyZkm/sE3xl8E4jAb+TlDEFD2oBr5KkFci1df67BfhTU8nln/a9llfQ3gozwbWdsePqSsdqYCf8NfQqtkl7FT9P4C53ODBfyR7h7HvTf9pcWu67n8rj+IrBmAxqTTJ3TpnaREdE9OmfkNEl05JB4I2w7ZWlALRo4U3R6P/C3NHzHlgH0jqBo6mgdQwyvTXrbHzmdQwZu6D7lyBEqDeBUv8jJGRN/PyXZYiBnpMTjUB0srdp5C16153WP5S5avuHbU3giS8hLazBDBh3nGaNbSzhk0CcQZPuFHGdosAFo9CakRneWexjRV+32up6vqB3lKA9F/Gt9RfLoA5eeb62jjbBskSXxWhoYSF4jneV5mea/nalSmg0AXfGJLPCLZrEhH2ziyoAVPGoD4BKv8MMMMJ73s9xse8FPLY1FJyqDemq6LvYCeRwzjSF78NMif0N8t+ox2achOSX4ie2M+qacbGYvXHrZ5UOsLdwXj8hlKdiuzCrD67MxMFdf9XZdZXOUzo5soHiLlnxZGhrQRTTGaAfJjcfI8iDMS3pL9yMeRWdd2BDhj6zUdIjaMpLn2j3bxrUypE89/TFss/CtHVun+bNcgWBB6UfQInpxwV40WtoDDgQNmOmJXuc/x1fvvseiJWs1fv09lmQSoIx0L76IZjNHMwWsDMALAYvoq13f/f4PFj4TXhrQe770Xy8JkP9oyYfyjXUEBy31oE7YYIIcUZKMkc8Hdn1+BVnZVN5+JMDm0xfEoMdPe17ZPLVz2x61PlmjkffWLwTWbEBDb/0jB8k3ccnY46Dqzf0LXvSS/s02byqjHwMplIU31JN0Sr0N8s5AjYYGlkPODnWWMveDPfvG3b+5lpEuRWxbHBQ5Qr5ctYPq57FbTvxVzxKPQ3VQXYaOLXhZGmDAlONvfPPMPkCw2x579YZBbwkwFPBuk/DkHmvGMSScMwi/489/tlkXnWtQgRwjz5Gc6xr9AZre8cKJIQrPPX70P966YJAIwoyVcFxwmhhA0ja8AWAtv8qN2lHOou9fEU9Re1t5ZKBTS9osE358+0S0Pa0hXiWvHn9PZ5r/Npgx9BZKfFLP2hsn61gNBYM8z+CuQEG0rK01oDEWHc+f/mvav8UM3cqXGug3+x94cHfa108PvwIhGqXjWLIH/Rb5K/Gh6616TPbp6c96blWfYGcJqCNHyJRNdu8cBjwEcpEHlvZEAxc928oj+fUywfansTBv6avS2d4Gok+x7eBSequv+srn8TS4P0Y7tMiNMC/pWN2PeFQ9lsuGqDyOwj+SP5uv1pa1e61lSJ9aOeTZMWyzrUfpXOWX2k/PSRbAK/p5/nlOyw4UtLDLu+jHX/7aaQuzSGtBdPEwzVGbc8Kzf0lpZQBdxEy+Uqotky49Qx2xA9Qf/YV+IbGvB5usc+9d733/1DNUSuVa/Ulwo6QzJWPRzFRPm2X2Gz52oyXjHZ+PZTfUl9+kMxZte3ib4MvJ/2sDgTUb0GgxnBIBKXGvhK2jHCnt6Jo31JN0SvHsjUmNhgwLx6EkgxvllUNnl8XY+pcituLZ19vyMsSj6udp2PIjrKNrnoZok7emFGvYUJehOtj61s5b8OJ5jA7T9pnKH9WTNaK8ZeAevNtk62yfJT/rH0tJvNlnhs59n4E2gzhmZ9igi+jwdoYBHtPEJ004AAwItU+GaOpI/bR2NpJx9XPfvyI+Inmw8ugxj2hIZnxeXY94FJ0hXsVfhL9oTHOU0wWmTHFnkF5LmplGfpbd1ZLe6rTgb+nIISs5mbZdan18LDqWN51r5oftY7yN05plyShHHNeSUyl6/mjr6OXJ5+W/ZCzKq3s1+Yto2mvSFV7f2jyWD1v/ofOoDWk7zUizz4M3Qd7os9+tPMKn+pvtT2Nh3tJXpbM9npPwUKIxVju0yI0wL/Vx3ff19HIzLxviy9F/YYdsRfKnfLW2rN3j+ZYyIjnkWeFmZX/o3Mqy+B86qvxS++l5NtNGj5V+DNjtcln0o/Zqq81es2/1h+yJeJn0qHbyS6f4kgazqMC19AJPZWkG5pC8KD9HLf9QsAZ/RnuK2LZssbuW7tB5qw6RjA31TcqTLA/lnYSmr4fKmARjTyP/r18IrNmARmsEkebWuk9vAOxbVt4glabX2es47Xbjs0k6pQYH3pjUaJRmXURirOmzkSNLtJwpvzY6q303uG6j6ZZ2i8IacoRUP68clxN/GbkIG+o7VAeLSe28BS//hoqgButBmUnEAJOZDrfddls/OwJlD+82CU/u4fATjJKc1Iyl+gwyAE0r16Xz0tRS+MGhYdbRgYcc1q9fZQNFGe5pBnWK9kODmR/0SRwreGAWC0GSWju1OmvwrmneVh6sPHrMLf6c2zerPm+NR9EZ4hWa4OB1lp6f5sggm9k1vE2hLxI8GkqSGXiB51pqkX3/PAMbNgCFPu3NFy6Qb/vDCeZrL+TRFwr8tOOx6Hj++I9jyiaAlG/XCB982OH9NTZgo3zsAhtjMgOqtt9RVMZYsgftFvmLeLDXWttSeoeZNSUd4q+XpjCDM5sKo88YFNgZWZFea+WRekU+wFiYt/RV6eyaDfR6xLYH53rD6mlwb4x2aJEbYe59GPGq+xGPymOPY9sQS9ueC/8hPVZry9o9ymopQ3rf63Xp2bFss627PZcP2to+9tnaeW05lH9OfqrHwOeb9r8w9jJq+7u1+1E5rUECPYveYqYseorgLImZGXz5CP+OZSzoN4Ie+GxDARXRbTm28ioZa2n72mwwy9Ok/d0+29JfbP48X/8RWLMBDdsZansnIAKajhkpUDkCDHCmSZYPv3mjp6elL34/DEvDDxpav9VsB1hRXbivjX40nV6bhdbWCbYorCFHSPWLFOmY+HvsLP5yRkqGbKgOllbtvAUvu4aYgVI0m6FmpIQnzhkDfgyl3SnfTom3vDIIxOgy4CIQMXZih29229YUxEn2UrB74iATDBCjVGsnOTLR13QsLZxolkWAn/qC7kseGVyDaynV1qPWeBQ98eqdLt2XvEY6S3kmOVIXLeuwswyGaNh2GdKzWlJX2jQvKkv9hbaY5Od1yVh0Ih61yajdbE3t72VNOj7SwRFte20M2YNei/zZcqNz4elx9nllnyZdZuTpRP+RWfYH0pI6O7uQ/OIRfcPeALWkQZTncwzMW/qqdHaEp9prSOfUBqNjtIP44FhKwrykt3Q/qmeJpr0+iw2xdPy58EfHtPgJkd4daueWMqT3Pf1522bhofZpWaqtZ1qOqldJLiyNSfLa51rPFbxEb4CrTXqRMdTXrN1Dp9cSLwpY6oEe4qWMUmQLSnZDz0xzrPmKlp5kjD4wZMsVoPL2zdLjXPI0TX+XHzwvf9Tzmv9XPgJrNqBhByXR597UdAyMiIbSib0RIU+0FEPPthytEatFXW1Awe+HYWl4Y6tBApHf6DOZ4lEzMFCqpYGkdppnKh75cRCH3ia2KKwhR0j1i5TemPh77IQNRzkjJWdtqA6WVu28BS9tzOU3mLV0ZfiQW3i3SXh650xr/LkeTfu0fcbvpWLpz3JujasPFtTo6u1BzdGyQbuoHeUoUf+aE2L7it8cVfLI4NU7Q5Z/zW6KNtqVrPnBk31eA6ySAygakc6ydFrOGRjqE3UEM3hLVAvWWJrkQ5bAtKZneUYBUj/V19Lz5+ov0J/k53XJWHQ8fwoUgpv9rK36oG8/yWAkn562/z+G7EFzDF0mPD3OnmfZp9osP//MpP+1lMkHysTjkGza6fBeJ42BeUtflbxEeLbyoC+tRTTGaIcWuRHmXu7Vprof8ag8Q8dpbUiNrvBHVlr8hEjvDrVzSxnSD57+cthm8GnhsYZj6Z58Gt9Ho/yS9yjgEOXXNb2YrNlV7JW+BhTlky5pte92RrP48MfjTjixD2bYT42TR/LCUUmyPUv/EC0dRRPZtmXpvo5WxlptuQ8ii5aOs/R3BU3YqwP/L1MisGYDGjS9FEk0HVWigQLDGaWzeyNCHju4qW1qw9tNNiY86gPHdH/9299EfpGB8E7vQqau63c8RolFAYeakbHOWGkaP0pcU6JripoBGvcJYvAmHWVdyw//LQpryBFS/SIlPib+LY5KaaDR+qbOtml03jIwl/NZM/5ajxkZKeEZOWf6hjhyZjemEq8Eu7i30dM2DXf4Jh8GkuAc0+f91Pljjz+h38W8ZBCtcR3a5E48cVS0vuZAsGs4MkS9o3aUs8j90gaW9BVknzzRIMzKY4QfvPJGRoP8KIipNzPwGu10bgNPpYGB3rjWvpxg8audSyZYEsQbJDCYJGmzt9IeF9CydYqCZWzyylKqScuGtpWpWh8fqtOkdOCV5STICjJjeVcf9O0nGYzkc4i/MWSPMob08RAf3G/R++Sz9sljZMvhjSADGDbHY+M+JaZq77jLbv1nvUsBew1CfABYPNI+fEmBTUSjJF0aBR/HwFwDl8i/ED+Sl8gGwre+BFHSOSw3wVZT14jGrO0Any1yI8y93KueLfZvXjZEPETH1rfTtbas3aNMtTFtVNJT0g+RrMxqm6N6+2t22cUk9tnT8f+1RIG644taXWnz2k07o5nB2FbaisG3T9IDJbtKfmuHoj06FKCGz5K+oi+x5I08QwN69d3In5K8cFSSDYr6sPJMehRN+LVlRXQkY7Uxk5bPQC/C0NKVPpimPvKT/Ix1S78mDzZfnq8fCKzpgIZVjjhL9pNvKFQccRwFBkl0zsiIkA8ngkEemxwyhZ9OpMRygBM/ffLCBoheCVojRjlP3mSz7oKLLl6k0OEL/uAh2sXf0ogMoYIy8Og/lQmvx3zkY33QhvsEeWpJU+7ghZ9/Y+WfbVFYQ46Q6hcpvTHxj7BTfWRcSgMNvTVA0RM5hi9mBEya7FTFvfc7oGMKLbTsshK74RT7T9jlFeQ9/Ywz+7WYaiNvpIQn932dLZ4E2PwmodZY4yAzpZtnlNi7A4yQpWgAS//gHrT9m/7/397ZtNpyVGH4pzhz4EQQBBFHOvAjAaNREBSVaBQDAcGBkEEwYnQgiBNBRFAJQQ1Rh2L0+oUgOlMxNw7UicH8iytP43uoU1ZVd+0+++4+3qdh03vvrlpd9dSqtapXdVdTD/Qzx1n7YutWOmVmOsp1apBR9iHq3WrHDBYpG4uHPv7Ek9fk0Aa8XpTjlLG8PbQsZ9byIB31LduO9uQiN3UsZ+0jI8/OUk7sAWmQwSCNoOkb3/zWe9zKyfHehUGCXpQhi6wio2yrnG+0Z50M+h3nevqLzzbXqECf8qEd6g0bkwAOsqhDbCRlon7Uk3OgU1x8lVsCKiPmZfr6e6kbtb7XaUe/Z+XE7raCY5ntqgNwsTN1nx2Vqzy2V/eQtWaPy/P1vm+x+8mb9iVgxluX6CPZ0Nf4YfSjXoUfH/6eRx5ddIcA6qjf82am8kInZUSv6O/cGXT3lb/l1EtfKW1p6641Eu9lnjZvjS9SmNjsng9kXAGfls1hQVQusF73+jfcg3FLBufZ0w7k36I3Yd6zW1v837l8SFi39umvMEbPuLBFN0vbTr5RW46OkTdtzDl6dio+qqUre31zq96t/zIGrO8UbqXd+h8sE/xFR5959ivXApccx4djS+GDDtfB/rr+tR/hOONn8jOuZ7Il7cee3/zP8ZbNTl0S4MRu8GaqMsBKgPOxTz9x1RfxAb0Nf/KRj39yGQu0JkPjw0vOGfuNXofaO1/v/9KvrfmdlBlG9TUT8rGf2FGOs+A1/WS0xR70bNIo75oerunDSLbHbieBBzqgQZP9/g9/vDJiGCgW4GFw/aa3vO3KsH33ueeX7y0nggwG51ksj45MYAMZfMqFyT762OPLjFSpKqUTY+Yhsyicn/yUh3Ihl99cQNZbKaPlCHEGDLpwFHX58qYJzsEFSy406nPkd26VR05rxirpst9isNYGQqlfz+jdFP8Wu9Qjg5HWhTBpyhkw2PBp3bIYeaN9BsiR03pGsExDGzITwKC11NuHHvnAUo7aSYUn8lt1Lp1WKxJfv50husoMKANq5KJrlBHdK7fSyZCOvPQryjqri6VcvucCErmU493vff8ye5s+RN/KKuWtdiwHi/R5ZPChXnVf7t3tRDlqfcQGkL/kg1xmL2o+5Oe/BEmpS/2hnZ97/vvL/70Lg7INk380k1Gz5Hc5KxkZa/ta1yI3C14mf7imzfmfwST2uN5iH0hD3ZklnNnKAVtL37fKmpFDH2EtmtbAO+djEIvdffs7H7r37e98b+kvpIdD726B5O3t9+oecsO71Ud6563/32L3k6f2T9EN+kzsGW3PABmu9ZYLcdKQ9x3veni5Qyz9nv9bvrMsIwFpbF1rDEB+Bun1BVLKsZd5fEtvfMF5YrN7PhC7yviCsvKJzWHmF1uMr2Z2FXvRk7G3HbboTZj37BZ1LX0bdan93zl9SNq0tS/9SzijN+U2asvRMWSkjZHds1Olj8Ie1dse31zL6v3Oo8c3eVHNuWhXApZhy57+X/pN/sNnsLhz7TujW6ShH7fWxeFOzkwOkg57wZvV2PObD8dJ19sIfnAXCefIubA1pa3qjX8is/TxvUBpJlyR9bnPP3XvBy+8eLV2F8Gfuv6RPbsv/VrPf5cySx0r7eWavS1l5HvarGeTkq7el2+cqftg0kZ22qilD0nr/v+DwAMf0KAZuUXqY5/41JWBimF79EMfXgYxa04EGRg5ZkLp1MmfPc/1c4FSzqRHfWonRlk4b/Kyx6Bh6FuvnkNOLSOyyz3G7+d3fnkVMCnlU+bM4pZ5Wt9xOlw8k380AEveGJWRwVobCKV+Ixk3xT/lrvcZjIwG+X99+e7yNoU4ulMdPgNkBnXoTdqpdjS0JzMFzNYnDXt0hVsx//6Pfy7tw3913vDkWG/glAsy0jCY//drr11Dwp0YRMjLgQBp+RA4QNd6DpcZWGZgyvol74wuXivQf3/c+dWvlwvEyGNPezAzQ98a6VrZz6lfi++oL5flGenjGh/kkJ+L3LJ907YEB1LW0YXBv159dbEb5IPDqP+UZc/3Uk9KnqPvta5FFnvsH3awbvc1+0ZdGcSia1y8zm7lgK2n71tkbpVD/yXghd5R314/IN1Xv/b1a32I9t478Nqre6M+soUTabbY/VLWyD/R7tga+mRv+81vf7fMqsb2RkdHulWXkUUzCS4lL/st56ZMe5jHt4z8afriqA/nDrcySEgdolNbZOxphy16E+Yju7XF/53Th/R0DDb4hHKMx8Vo2b9HbTk6xjnTPrRZz07F7o90ZY9v7tW9/L989Ji7CG5yox/98MUf/08/hAl9maDdn/78l+Ypsc+M40lL4Juxamvr8dna15E56idb/HsebektwJ5yE1hhYoY68cG+febJz3brlnwz+9Kvjfx3KbPHcGRvy/z5HnswsmtJW+6Tb/TY9VZ9KOX6/XYTMKBRtB8dgOdwMTanPq+NoSNv5HDLFUa6t7WcWGTw6MLLd19ZngHv5T/lf55HT/lm68mgKYukrj0fd0rZ9uYJu9Rvjf/e87Xyo0e0K/s9G3pD+Ud1IA2BLgY66O3ec86Wl8EnA5zoKrq1dUv9eLSE9prVxd550AGY/fRnLy2vbJ0pUy2T+hEcIlDC7Z78ntmij7QNdZwtS/LDePbcKSe3S6OPs+dO/pvep06UaWu9qMP91u2brndPXtpnK4uenPr/cD5V92p59+s3eorfw6bMMkFHyPvSL+4skxGw7W0ZFJeDaWwSekl/J6g7yt+SewTme21W6rWnHSJjzz7+Yc3/cfymfcio3GnjWd0cyTzHMfSAMp7im9fKkwWcCTSea6Mv0xdn/ARtw4Lo6M7aFj7IH+nYmpyynOfwUdE3ynkUHx4mMGRcdKq9jJzZPdceBHha66iUsmb0oczn99tJwIDGhdsNI8VsBZ2zF5W/cBGvnT6DwLXXMV3L5A8JSEACEpDAgQjEl5UBjQMVz6JI4LAEspgldyMQNHGTwP0ikLvEtzzyfr/K5HmOQcCAxoXb4TYFNIjGZnG/tcjohbF6eglIQAISkECXgAGNLhoPSGBIgJnvLER7xDt1h4X34K0mwBuvWFeHNwuesvD+ra68hR8SMKAxxHP+g7choPGNb35reSb84fd9cHmGjxmteoXp85PyDBKQgAQkIIGbIWBA42Y4KuXBJJCF0FlEk/Wp3CRwbgJZKHXPwtnnLqPyL0fAgMbl2C9nPnpAg+cR8xomHothwbEXfvSTawthXRihp5eABCQgAQlMETCgMYXLxBKQgAQkIIHDEjCgceGmYZEf3vjAqvitV7JeuHj3WE2cNwt84UtfXgIZ5Tu3L102zy8BCUhAAhI4hQCzyk89/czycYb5FILmkYAEJCABCRyDgAGNY7SDpZCABCQgAQlIQAISkIAEJCABCUhggoABjQlYJpWABCQgAQlIQAISkIAEJCABCUjgGAQMaByjHSyFBCQgAQlIQAISkIAEJCABCUhAAhMEDGhMwDKpBCQgAQlIQAISkIAEJCABCUhAAscgYEDjGO1gKSQgAQlIQAISkIAEJCABCUhAAhKYIGBAYwKWSSUgAQlIQAISkIAEJCABCUhAAhI4BgEDGsdoB0shAQlIQAISkIAEJCABCUhAAhKQwAQBAxoTsEwqAQlIQAISkIAEJCABCUhAAhKQwDEIGNA4RjtYCglIQAISkIAEJCABCUhAAhKQgAQmCBjQmIBlUglIQAISkIAEJCABCUhAAhKQgASOQcCAxjHawVJIQAISkIAEJCABCUhAAhKQgAQkMEHAgMYELJNKQAISkIAEJCABCUhAAhKQgAQkcAwCBjSO0Q6WQgISkIAEJCABCUhAAhKQgAQkIIEJAgY0JtUoK/gAAAEYSURBVGCZVAISkIAEJCABCUhAAhKQgAQkIIFjEDCgcYx2sBQSkIAEJCABCUhAAhKQgAQkIAEJTBAwoDEBy6QSkIAEJCABCUhAAhKQgAQkIAEJHIOAAY1jtIOlkIAEJCABCUhAAhKQgAQkIAEJSGCCgAGNCVgmlYAEJCABCUhAAhKQgAQkIAEJSOAYBAxoHKMdLIUEJCABCUhAAhKQgAQkIAEJSEACEwQMaEzAMqkEJCABCUhAAhKQgAQkIAEJSEACxyBgQOMY7WApJCABCUhAAhKQgAQkIAEJSEACEpggYEBjApZJJSABCUhAAhKQgAQkIAEJSEACEjgGAQMax2gHSyEBCUhAAhKQgAQkIAEJSEACEpDABIH/AA1LuI+lICuKAAAAAElFTkSuQmCC"
    }
   },
   "cell_type": "markdown",
   "id": "170e8ad7",
   "metadata": {
    "cell_style": "split",
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "2500fe81",
   "metadata": {
    "cell_style": "split"
   },
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e51fd9ac",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 探索性数据分析（Exploratory Data Analysis）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37579fd3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:14:23.391290Z",
     "start_time": "2023-08-08T12:14:23.368249Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "name       0\n",
      "label      0\n",
      "content    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 计算 content 这一列的缺失率\n",
    "print((data.shape[0] - data['content'].count()) / data.shape[0])\n",
    "\n",
    "# 计算缺失 content 值的行数\n",
    "print(data[data['content'].isna()].count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "06bb589f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:14:37.458821Z",
     "start_time": "2023-08-08T12:14:37.445293Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n",
      "name       0\n",
      "label      0\n",
      "content    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 计算 label 这一列的缺失率\n",
    "print((data.shape[0] - data['label'].count()) / data.shape[0])\n",
    "\n",
    "# 计算缺失 label 值的行数\n",
    "print(data[data['label'].isna()].count())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "745bd4e8",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "句子长度分布图：绝大多数的句子都在 600 词以上，大部分的句子在 1000 词附近"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6542a670-313b-430b-ac43-b9b4169efb1f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:15:51.455918Z",
     "start_time": "2023-08-08T12:15:51.238447Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-02T06:39:45.836804Z",
     "iopub.status.busy": "2023-08-02T06:39:45.836211Z",
     "iopub.status.idle": "2023-08-02T06:39:46.001358Z",
     "shell.execute_reply": "2023-08-02T06:39:46.000541Z",
     "shell.execute_reply.started": "2023-08-02T06:39:45.836778Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Data')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 句子长度分布图\n",
    "data['content'].apply(len).plot(kind='box')\n",
    "plt.title('Data')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f29ad2fb",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "句子长度分布数据：作文长度一般是 1015 词左右"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "23bf33fa-9948-43a7-95a6-ed212bd5ffc2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:17:01.337236Z",
     "start_time": "2023-08-08T12:17:01.320931Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-02T06:39:46.002602Z",
     "iopub.status.busy": "2023-08-02T06:39:46.002369Z",
     "iopub.status.idle": "2023-08-02T06:39:46.016465Z",
     "shell.execute_reply": "2023-08-02T06:39:46.015707Z",
     "shell.execute_reply.started": "2023-08-02T06:39:46.002582Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    14000.000000\n",
       "mean      1014.411857\n",
       "std         16.114179\n",
       "min          2.000000\n",
       "25%       1015.000000\n",
       "50%       1015.000000\n",
       "75%       1015.000000\n",
       "max       1015.000000\n",
       "Name: content, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 句子长度分布数据\n",
    "data[\"content\"].apply(len).describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "112e945c",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "标签分布图：不均衡，0 类远多于 1 类"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e476683d-6a6c-4b6c-a5d3-56b4f718db80",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:18:38.413625Z",
     "start_time": "2023-08-08T12:18:38.320922Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-02T06:39:46.017620Z",
     "iopub.status.busy": "2023-08-02T06:39:46.017400Z",
     "iopub.status.idle": "2023-08-02T06:39:46.111803Z",
     "shell.execute_reply": "2023-08-02T06:39:46.111010Z",
     "shell.execute_reply.started": "2023-08-02T06:39:46.017601Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(1, 1, 'label\\n0    11836\\n1     2164\\nName: count, dtype: int64')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 标签分布图\n",
    "data[\"label\"].value_counts().plot(kind=\"pie\").text(1, 1, f\"{data['label'].value_counts()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb54bb06",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 模型定义与训练"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "344ad03a",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "数据集格式转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "57ba0b71-0d9a-4375-9a04-fe5baad48abc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:31:21.013194Z",
     "start_time": "2023-08-08T12:31:20.986025Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-02T06:40:23.367224Z",
     "iopub.status.busy": "2023-08-02T06:40:23.365916Z",
     "iopub.status.idle": "2023-08-02T06:40:23.400959Z",
     "shell.execute_reply": "2023-08-02T06:40:23.399898Z",
     "shell.execute_reply.started": "2023-08-02T06:40:23.367180Z"
    },
    "run_control": {
     "marked": false
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 按照 10% 的比例划分训练集与验证集\n",
    "train_data, valid_data = train_test_split(data[:10], test_size=0.1)\n",
    "\n",
    "# 下面就是一堆操作，把数据变成数据加载器可以识别的格式，自定义数据集类也是同样的效果\n",
    "train_dict = train_data.to_dict(orient='records')\n",
    "valid_dict = valid_data.to_dict(orient='records')\n",
    "train_ds = MapDataset(train_dict)\n",
    "valid_ds = MapDataset(valid_dict)\n",
    "\n",
    "# 将整体数据拆分为 <总样本数 / 2> 份，放入数据加载器，就是一次性会有 2 份数据同时并行计算，份数越多，并行越多，显存占用越大，需要根据需求来选择\n",
    "train_loader = DataLoader(train_ds, batch_size=2, shuffle=True) # 训练数据可以随机打乱，让模型更好地学习，减轻学习到无关特征的问题\n",
    "valid_loader = DataLoader(valid_ds, batch_size=2) # 这里用的是 1650TI 4G，如果是显存更小的卡，需要调小一点，不然会炸显存"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07efaf4c",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "模型定义"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1f3f209b-5aa7-4aa2-9e45-591d01523b28",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:42:48.180177Z",
     "start_time": "2023-08-08T12:42:41.108951Z"
    },
    "scrolled": true,
    "slideshow": {
     "slide_type": "-"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m[2023-08-08 20:42:41,111] [    INFO]\u001b[0m - We are using <class 'paddlenlp.transformers.ernie.modeling.ErnieForSequenceClassification'> to load 'ernie-3.0-mini-zh'.\u001b[0m\n",
      "\u001b[32m[2023-08-08 20:42:41,114] [    INFO]\u001b[0m - Model config ErnieConfig {\n",
      "  \"attention_probs_dropout_prob\": 0.1,\n",
      "  \"enable_recompute\": false,\n",
      "  \"fuse\": false,\n",
      "  \"hidden_act\": \"gelu\",\n",
      "  \"hidden_dropout_prob\": 0.1,\n",
      "  \"hidden_size\": 384,\n",
      "  \"initializer_range\": 0.02,\n",
      "  \"intermediate_size\": 1536,\n",
      "  \"layer_norm_eps\": 1e-12,\n",
      "  \"max_position_embeddings\": 2048,\n",
      "  \"model_type\": \"ernie\",\n",
      "  \"num_attention_heads\": 12,\n",
      "  \"num_hidden_layers\": 6,\n",
      "  \"pad_token_id\": 0,\n",
      "  \"paddlenlp_version\": null,\n",
      "  \"pool_act\": \"tanh\",\n",
      "  \"task_id\": 0,\n",
      "  \"task_type_vocab_size\": 16,\n",
      "  \"type_vocab_size\": 4,\n",
      "  \"use_task_id\": true,\n",
      "  \"vocab_size\": 40000\n",
      "}\n",
      "\u001b[0m\n",
      "\u001b[33m[2023-08-08 20:42:48,121] [ WARNING]\u001b[0m - Some weights of the model checkpoint at ernie-3.0-mini-zh were not used when initializing ErnieForSequenceClassification: ['ernie.encoder.layers.6.self_attn.k_proj.bias', 'ernie.encoder.layers.6.norm1.bias', 'ernie.encoder.layers.6.norm2.bias', 'ernie.encoder.layers.6.linear1.weight', 'ernie.encoder.layers.6.self_attn.out_proj.weight', 'ernie.encoder.layers.6.self_attn.v_proj.bias', 'ernie.encoder.layers.6.linear2.bias', 'ernie.encoder.layers.6.linear1.bias', 'ernie.encoder.layers.6.self_attn.v_proj.weight', 'ernie.encoder.layers.6.self_attn.k_proj.weight', 'ernie.encoder.layers.6.norm2.weight', 'ernie.encoder.layers.6.self_attn.q_proj.weight', 'ernie.encoder.layers.6.norm1.weight', 'ernie.encoder.layers.6.self_attn.q_proj.bias', 'ernie.encoder.layers.6.self_attn.out_proj.bias', 'ernie.encoder.layers.6.linear2.weight']\n",
      "- This IS expected if you are initializing ErnieForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing ErnieForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\u001b[0m\n",
      "\u001b[33m[2023-08-08 20:42:48,122] [ WARNING]\u001b[0m - Some weights of ErnieForSequenceClassification were not initialized from the model checkpoint at ernie-3.0-mini-zh and are newly initialized: ['classifier.bias', 'classifier.weight', 'ernie.pooler.dense.bias', 'ernie.pooler.dense.weight']\n",
      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\u001b[0m\n",
      "\u001b[32m[2023-08-08 20:42:48,125] [    INFO]\u001b[0m - We are using <class 'paddlenlp.transformers.ernie.tokenizer.ErnieTokenizer'> to load 'ernie-3.0-mini-zh'.\u001b[0m\n",
      "\u001b[32m[2023-08-08 20:42:48,127] [    INFO]\u001b[0m - Already cached C:\\Users\\Epsilon_Luoo\\.paddlenlp\\models\\ernie-3.0-mini-zh\\ernie_3.0_mini_zh_vocab.txt\u001b[0m\n",
      "\u001b[32m[2023-08-08 20:42:48,155] [    INFO]\u001b[0m - tokenizer config file saved in C:\\Users\\Epsilon_Luoo\\.paddlenlp\\models\\ernie-3.0-mini-zh\\tokenizer_config.json\u001b[0m\n",
      "\u001b[32m[2023-08-08 20:42:48,161] [    INFO]\u001b[0m - Special tokens file saved in C:\\Users\\Epsilon_Luoo\\.paddlenlp\\models\\ernie-3.0-mini-zh\\special_tokens_map.json\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "# 载入模型与分词器\n",
    "\n",
    "# 使用 ernie-3.0-mini-zh 序列分类模型，并将分类类别数设置为 2\n",
    "model = AutoModelForSequenceClassification.from_pretrained(\"ernie-3.0-mini-zh\", num_classes=2)\n",
    "# 使用 ernie-3.0-mini-zh 分词器\n",
    "tokenizer = AutoTokenizer.from_pretrained(\"ernie-3.0-mini-zh\")\n",
    "\n",
    "# 定义 AdamW 优化器，学习率为 0.000001\n",
    "optimizer = paddle.optimizer.AdamW(1e-5, parameters=model.parameters())\n",
    "\n",
    "# 定义损失函数为交叉熵函数，计算每个 mini batch 的均值\n",
    "loss_fn = paddle.nn.loss.CrossEntropyLoss(reduction='mean')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "602683bf",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
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   },
   "source": [
    "模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5034a124-1d12-45bc-9e71-ed079bb115c0",
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    },
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    },
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    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 10.36it/s]\n",
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 52.45it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Val loss 0.319446, Val Accuracy 1.000000\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 19.81it/s]\n",
      "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00, 57.42it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1, Val loss 0.265423, Val Accuracy 1.000000\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(2): # 训练 2 轮\n",
    "    # 训练过程\n",
    "    model.train() # 切换模型为训练模式\n",
    "    for batch_x in tqdm(train_loader): # 每次从数据加载器读入一批(batch)数据\n",
    "        X = tokenizer(batch_x[\"content\"], max_length=1015, padding=True) # 将数据转换为模块可处理的数据形式\n",
    "        input_ids = paddle.to_tensor(X['input_ids'], dtype=\"int32\") # 将 input_ids 变为张量，方便并行计算\n",
    "        token_type_ids = paddle.to_tensor(X['token_type_ids'], dtype=\"int32\") # 将 token_type_ids 变为张量\n",
    "        pred = model(input_ids, token_type_ids) # 将数据读入模型，并得到计算后的结果\n",
    "        loss = loss_fn(pred, paddle.to_tensor(batch_x[\"label\"], dtype=\"int32\")) # 对比预测结果与真实结果，计算损失函数的值\n",
    "        loss.backward() # 反向传播，计算梯度\n",
    "        optimizer.step() # 优化器根据梯度与学习率调整模型参数\n",
    "        optimizer.clear_gradients() # 清空梯度，避免下次梯度计算时累加\n",
    "\n",
    "    # 验证过程\n",
    "    model.eval() # 切换模型为验证模式\n",
    "    val_loss = [] # 验证集数据的损失函数合集\n",
    "    with paddle.no_grad(): # 在模型验证时，只做前向计算，因此不需要保存梯度信息\n",
    "        for batch_x in tqdm(valid_loader): # 下面的操作与训练过程相同\n",
    "            X = tokenizer(batch_x[\"content\"], max_length=1015, padding=True)\n",
    "            input_ids = paddle.to_tensor(X['input_ids'], dtype=\"int32\")\n",
    "            token_type_ids = paddle.to_tensor(X['token_type_ids'], dtype=\"int32\")\n",
    "            pred = model(input_ids, token_type_ids)\n",
    "            loss = loss_fn(pred, paddle.to_tensor(batch_x[\"label\"], dtype=\"int32\"))\n",
    "            val_loss.append(loss.item()) # 将计算出的损失函数值存入合集\n",
    "            \n",
    "    # 打印本轮训练的验证集损失函数值，与预测正确率\n",
    "    print('Epoch {0}, Val loss {1:3f}, Val Accuracy {2:3f}'.format(\n",
    "    epoch,\n",
    "    np.mean(val_loss), \n",
    "    (pred.argmax(1) == batch_x[\"label\"]).astype('float').mean().item()\n",
    "))\n",
    "# 保存模型参数\n",
    "paddle.save(model.state_dict(), \"work/model.pdparams\")\n",
    "# 保存优化器参数\n",
    "paddle.save(optimizer.state_dict(), \"work/optimizer.pdopt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4171baba",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 模型载入"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c2df496-3c9a-42b2-851d-e793c9a3479d",
   "metadata": {
    "ExecuteTime": {
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     "start_time": "2023-08-08T08:22:59.550174Z"
    },
    "execution": {
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     "shell.execute_reply.started": "2023-08-03T02:25:23.013220Z"
    },
    "scrolled": false,
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 如果你拿到了模型参数（在 AIStudio 中提供），你可以运行这行代码，如果直接运行模型，则没有必要运行\n",
    "\n",
    "# 载入模型参数、优化器参数的最后一个epoch保存的检查点\n",
    "layer_state_dict = paddle.load(\"model.pdparams\")\n",
    "opt_state_dict = paddle.load(\"optimizer.pdopt\")\n",
    "\n",
    "# 将加载后的参数与模型关联起来\n",
    "model.set_state_dict(layer_state_dict)\n",
    "optimizer.set_state_dict(opt_state_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56fd0304",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 推理过程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "dae1075c-d68b-4b63-8e46-9794bfd4d692",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-08-08T12:47:50.622747Z",
     "start_time": "2023-08-08T12:47:50.612233Z"
    },
    "execution": {
     "iopub.execute_input": "2023-08-03T02:25:29.238158Z",
     "iopub.status.busy": "2023-08-03T02:25:29.237602Z",
     "iopub.status.idle": "2023-08-03T02:25:29.245148Z",
     "shell.execute_reply": "2023-08-03T02:25:29.244150Z",
     "shell.execute_reply.started": "2023-08-03T02:25:29.238127Z"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 自定义推理函数\n",
    "def infer(string: str) -> int:\n",
    "    \"\"\"将文本传入模型并返回预测结果\n",
    "    \n",
    "    输入：\n",
    "        - string: str\n",
    "            待预测的文本内容\n",
    "    \n",
    "    输出:\n",
    "        - result: int\n",
    "            模型的预测结果\n",
    "    \"\"\"\n",
    "    \n",
    "    X = tokenizer([string], max_length=1015, padding=True)\n",
    "    input_ids = paddle.to_tensor(X['input_ids'], dtype=\"int32\")\n",
    "    token_type_ids = paddle.to_tensor(X['token_type_ids'], dtype=\"int32\")\n",
    "    pred = model(input_ids, token_type_ids)\n",
    "    result = pred.argmax(1).item() # 获取预测概率最大的那个类别\n",
    "    return result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18b1d2cc",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "提交文件生成"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "836e49c2-f980-4626-8a43-ab3bdfa65a69",
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    "execution": {
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     "iopub.status.busy": "2023-08-02T07:17:04.889690Z",
     "iopub.status.idle": "2023-08-02T07:19:00.263819Z",
     "shell.execute_reply": "2023-08-02T07:19:00.262948Z",
     "shell.execute_reply.started": "2023-08-02T07:17:04.890273Z"
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    "run_control": {
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    "scrolled": true,
    "tags": []
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   "outputs": [
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     "metadata": {},
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   ],
   "source": [
    "test_data[\"label\"] = test_data[\"content\"][:100].apply(infer) # 将测试集的每个文本送入模型返回结果\n",
    "submit = test_data.drop(columns=[\"content\"]) # 生成提交数据（就是把带结果的测试集丢掉内容，复制一份）\n",
    "submit.to_csv(\"submit.csv\", index=False) # 保存 CSV 文件\n",
    "test_data.head(10)"
   ]
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   "id": "dffcae16",
   "metadata": {
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   "source": [
    "# Thank You ;-)\n",
    "Datawhale 聪明办法学 Python 教学团队出品\n",
    "\n",
    "## 关注我们\n",
    "Datawhale 是一个专注 AI 领域的开源组织，以“for the learner，和学习者一起成长”为愿景，构建对学习者最有价值的开源学习社区。关注我们，一起学习成长。\n",
    "<div align=center><img src=\"datawhale_wechat_qrcode.jpeg\" width = \"250\" height = \"270\"></div>"
   ]
  }
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